bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Intelligent Manufacturing in the Production Line of Hydraulic Support Coal Machinery Plant
Authors: Ji Lianquan
Published: March 2021

From the definition of intelligent manufacturing, the status quo, shortcomings and solutions of the hydraulic support coal machine factory are introduced. Intelligent manufacturing is a human-machine integrated intelligent system composed of intelligent machines and human experts. Combined with research and the implementation of its own work, it introduces the current production lines of China’s hydraulic support coal machine factory from cutting, welding, spraying, and processing. The application situation of intelligent manufacturing, finally analyzed the problem of limited site, tight construction period, and unreasonable production process in the intelligent manufacturing of the hydraulic support coal machine factory, and proposed solutions that must be lean first, combined with automation and informatization. Realize the intelligent construction of the factory on the basis of optimized technology and modern management concepts, and finally establish a CPS system based on digital twins to realize a predictable intelligent factory.
Design of Frequency Conversion and Soft Start Cooperative Control System for Mine Fan
Authors: Zhang Hongkui , Huang Xiaoting , Yang Guangyu , Li Tingliang , Ma Long , Chen Lei
Published: March 2021

In order to improve the safety and reliability of mine fan control system and realize remote control in dual operation modes, a cooperative control system of frequency conversion and soft start of mine fan was developed based on PLC. On the basis of analyzing the position of coal mine in China’s economic development and the role of coal mine ventilation system, this paper expounds the working principles of mine soft starter and mine frequency converter, and designs a cooperative control system of mine fan frequency conversion and soft start based on PLC, which realizes remote control of mine fan starting, running and stopping, and has the functions of voltage, current, wind speed and air volume parameter monitoring and fault protection.
Practice of Reconstruction Soils Engineering in Shaanxi Province
Authors: Lei Na
Published: March 2021

Cultivated land protection and food security are always major issues related to the national economy and people’s livelihood. With the development of the economy and the reduction of high-quality reserve arable land resources, the difficulty of land consolidation has escalated. In this context, A series of land consolidation methods were innovated applied land science and technology in Shaanxi Province, transforming difficult-to-use land into arable land resources by reconstructing soils, mainly including soft rock and sand synthetic “soil”, barren gravel land farming layer construction and stained soils reconstruction have ensured the economic and social development in Shaanxi Province and provided a reference for land consolidation in other regions in China.
Evaluation of water resources carrying capacity in Changzhi City Based on Analytic Hierarchy Process
Authors: Li Fucui , Niu Kai
Published: March 2021

With Changzhi City being established as the provincial sub central city, the demand for water resources in the whole city has changed greatly, and the contradiction between supply and demand of water resources still appears in some areas. In order to have a comprehensive and in-depth understanding of the local water resources carrying capacity, the index system was established by selected 14 indices from four subsystems, and the analytic hierarchy process and index evaluation method were used to establish the evaluation model to evaluate and analyze the whole city and each county. The results show that the water resources utilization degree was the largest. The whole city is in a strong level with great potential. Among the counties and districts, only Luzhou district and Shangdang district water resources carrying capacity was medium and other counties were high or highest. The conclusion reflects the current situation of water resources and has guiding significance for future planning and allocation.
Research of Beauveria bassianao the field control of Locusta migratoria manilensis Meyen
Authors: Wu Haifeng , Rozlomiy Natalya G.
Published: March 2021

In this experiment, through testing the B.bassiana colony space persistent change on the lawn by isolate medium, explore the application time of field climate and other factors on the inoculum effect. Results: The control effect of lawn locust, Suspension emulsion mortality rate was 74.2%, Bt bacterium mortality rate was72.2%, B.bassiana bacteria mortality rate was70.1%. Test the population dynamics of B.bassiana surviving in lawn during 30 days by PPDA medium, we found that different strains of time has a great influence to the spore viability. Each cell showed obvious changes, the overall downward trend evident. After application the lawn every part of colony persistent distribution for soil> leaf > air; the best application time is 6:00 p.m.
Access to higher education: California and Jiangsu
Authors: Zhang Qinyuan
Published: March 2021

This study uses the mixed research method to examine the American and Chinese college entrance system with different college admission policies. Based on reading documents from education bureau and school websites and conducting a survey by using self-designed questionnaires to 38 participants from California and Jiangsu, the study explores students’ choices, family backgrounds and parental influence in deciding students’ access to higher education. The results highlight that in both American and Chinese higher education system, students’ family backgrounds play an important role in students’ access to higher education. Such findings are closely tied to social stratification and social mobility in contexts of Chinese and American society, including cultural and social capital students can acquire from parents.
Analysis of Influencing Factors and Improvement Measures of Water Injection Development Effect in Low Permeability Reservoir
Authors: Yu Xiang
Published: March 2021

The global oil resources are facing the shortage phenomenon, so the improvement of reservoir production efficiency is a major problem faced by researchers at present. In recent years, low permeability reservoirs have been highly valued by relevant scholars because of their abundant reserves. The production effect of low permeability reservoirs is affected by many factors, including water flooding development potential, effect and artificial control.
Design and research of multifunctional fast binding device
Authors: Wang Peng , Zhang Shuzheng , Wang Xiangdong , Dong Deshu , Lu Jianqiang , Wang Danni , Yan Zhou
Published: March 2021

In order to solve the problem of hand injury and low efficiency of steel wire binding by hand, a multifunctional fast binding device is designed. It works on the principle of large pitch screw and is a sliding friction structure, which makes the binding work of steel bar change from manual reciprocating winding to linear expansion and contraction movement. At the same time, a counter is added to meet the needs of different steel wires. It is convenient to use and reduces the labor intensity of workers, High efficiency, in line with the construction site for equipment requirements.
Design and Research of Mechanical Gas Timing Shut-off Device
Authors: Zhang Shuzheng , Xu Meng , Yuan Xun , Zhao Cong , Li Xianning , Yan Zhou
Published: March 2021

With the generalization of the use of gas and natural gas, the design and research of the timing shut-off device for gas has become an indispensable factor to avoid gas poisoning incidents. In order to solve such problems, this paper proposes a mechanical gas timing shut-off device design, expounds the operation principle of the device, draws the device schematic diagram and assembly drawing, and introduces the key technological breakthroughs in the research of mechanical gas timing shut-off device. Clarified the innovation and promotion significance of the device.
Research on Calibration Model of Bridge Health Monitoring Based on Vibrating Wire Strain Sensor
Authors: Peng Lu , Jing Genqiang , Wang Yixu , Miao Na
Published: March 2021

Bridge structure quality inspection and health monitoring are important research contents of the transportation industry. This study uses the national standard 6061 aluminum alloy cylindrical bar, and vibrating the vibrating wire strain sensor used in the mainstream of the two markets in a symmetrical position. This study used a superimposed force standard machine to perform a 0-100KN compression test on a bar. We performed data regression analysis on the data of the two sensors collected and obtained a new model. By comparing the output values with the traced force standard machine, we conclude that the trend of the model is consistent with the trend of the force standard machine. This study provides a theoretical basis for the rapid calibration detection of bridges before installation by strain monitoring sensors.
Research on the application of MOD method, the core technology of industrial engineering
Authors: Hu Xiaoming
Published: March 2021

This paper studies the application of MOD scheduled action time standard method. The Modular Arrangement of Predetermined Time Standards is abbreviated as MODAPTS method. MODAPTS job determination method is widely used in human factor engineering. This method decomposes job actions into 21 basic human body actions. When its time unit is MOD, each action has a corresponding standard time. In this pap, that application of MODAPTS method is systematically discussed, from its characteristic to the basic system of MODAPTS and the mark of motifs, with emphasis on the application of time value of time-limited action and simultaneous action of both hands, and the difficult MOD analysis formula is given. I hope that MODAPTS can be widely applied to China’s industrial engineering in the application of big data and Internet of Things human factors engineering and the promotion of Made in China 2025.
Simulation and experimental research of digital manufacturing based on reverse engineering
Authors: Pan Junbing , Xu Jiazhong , Zhang Chenliang
Published: March 2021

Reverse innovative design has long been an important subject in the engineering field. In this paper, two different-curved desk lamp stands were studied. The point cloud data of the stands was collected by using Win3D scanner and Geomagic Wrap software. Then, after facial processing of the data, reverse innovation of the facial data was performed through the reverse design software of Geomagic Design X to develop a new desk lamp stand that can satisfy engineering applications. It is actually an upgrading of the appearance of the original desk lamp stand. Finally, the numerical control program of the new desk lamp stand was completed through the processing module of UG software, and the program was verified by simulation and was used for experimental sample machining. Experimental results showed that the difference between the processed sample and the research model was less than 0.02 mm, indicating that the new design can satisfy engineering requirements and replace the original desk lamp stand. This means that reverse design technology is highly compatible with machining technology, which can shorten the innovative design period of product.
Discussion on Application Technology of 5G Network in the Field of Coal Mine Robots
Authors: Long Ma
Published: March 2021

In this paper, the technologies of obstacle-surmounting performance, explosion-proof design, communication and sensing of robots are researched and explored, and the prototype of inspection robot body and handheld remote control terminal are developed. Through the combination of virtual simulation, theoretical calculation and field test feedback, the modular design and optimization technology of robot scale, structure and function is broken through, and the modular special robot for mining with strong environmental adaptability is developed. This scheme is suitable for large-scale popularization in coal mines.
Study on Thermal Analysis and Cooling System of Mine Flameproof Inverter
Authors: Qing Chen
Published: March 2021

At present, the underground environment is humid and complex, and there are a lot of flammable and explosive gases. The electric control equipment such as underground roadheader and shearer all adopt frequency conversion technology. Temperature rise is very important for the service life and working stability of the core components of underground flameproof frequency converter. The cooling systems of IGBT, capacitor and driving unit can be roughly divided into air cooling, cooling medium circulation and natural cooling.
Laboratory Model Test and Analysis of Excess Pore Water Pressure Dissipation of Pile Driven by Tapered - Perforated Tubular Pipe Pile
Authors: Yang Yansong , Lei Jinbo , Deng Dingzhe , Zou Yongqiang
Published: March 2021

Through methods based on the indoor model test, the use of static pressure pile with three different hole arrangement and three different kinds of taper cone - bore log shape composite pipe pile bored into soil by static pressure,and after observing the excess pore water pressure caused by pile driving when testing, and analyzing the process of various pipe pile static pressure, the change rule of the excess pore water pressure varying with taper hole arrangement, size, radial distance, pile depth has been gotten. It is found that stellate shape has the best dissipation rate of excess pore water pressure under the condition of hole arrangement and taper 1/70, which is of certain guiding significance for promoting the engineering application of tapered - perforated tubular piles.
Correlation Analysis of Bridge Flutter Critical Wind Speed and Three-Component Force Coefficient Based on Grey Correlation Method
Authors: Hui Gao , Xing Li
Published: March 2021

Based on the grey correlation theory, analyze the correlation between the three typical main girder section flutter critical wind speed and three-component force coefficient of long-span bridge truss section, closed steel box girder section, and slotted steel box girder section. Provide a reference for establishing the prediction model of the flutter critical wind speed estimated from the static wind load, It is convenient to quickly and accurately judge the stability of bridge flutter. The analysis results show that the lift coefficient, the lift moment coefficient and their derivatives have a good correlation.
Research and Exploration of Steel Structure Deepening Design Based on Multi User Mode
Authors: Hu Wei , Lu Jun
Published: March 2021

Steel structure with its high strength, light weight, good seismic performance, high degree of industrialization, short construction period, strong plasticity, energy conservation and environmental protection and other comprehensive advantages, has been widely used in machinery, construction and many other fields. But because of its huge scale, increasingly complex structure, project management is facing many problems. Based on the multi-user mode of steel structure in-depth design, the technology of product modelling, structural analysis, in-depth design, engineering calculation, processing and manufacturing and cost control are studied, especially the advantages in model creation and component manufacturing bring more possibilities for the mechanical industry. Based on the multi-user mode, the steel structure deepening design technology integrates the technical requirements of the project, provides clear information for the owner, designer, raw material supplier, manufacturer, construction party, etc., promotes the implementation of the project, improves the achievement degree of the project, and improves the control ability of the engineering personnel. A number of foreign large-scale bulk material conveying systems have obtained good benefits by using the steel structure deepening design technology based on the multiuser mode, which improves the industrialization degree of steel structure component design and manufacturing, so that the research results have good practicability and operability. The research results have positive guiding significance for the practice of steel structure deepening design.
Discussion on the applicability of 90° phase conversion technique in seismic sedimentology
Authors: Zhao Pingqi , Li Xiaoliang , Zong Jie , Huang Fang , Wu Jizhong , Yang Fei , Yu Gaoming , Wei Pengpeng
Published: March 2021

Since 1998, domestic and foreign scholars have conducted more systematic research on the theory and application technology of seismic sedimentology, and 90° phase conversion has been proposed as one of the core technologies of seismic sedimentology. But in actual research and application, the technology has not achieved the expected results. The 90° phase conversion intends to give the meaning of the seismic reflection event representing the stratum interface to the lithologic strata by means of phase shift. Due to the complexity and change of the underground strata, there are usually multiple lithology frequent thin interbeds. Therefore, the event axis in the seismic profile is the combined effect of multiple sets of thin interbeds. The seismic data after 90° phase conversion cannot convert the original seismic data from interface seismic profile to lithologic stratigraphic profile, and lacks clear geological meaning. Its application ability in seismic structure interpretation and seismic lithology interpretation is very limited. Therefore, it is difficult to become an applied technology of seismic sedimentology. Therefore, it is not appropriate to use the 90° phase conversion technology as the core technology of seismic sedimentology. This technology neither improves the seismic data resolution capability nor accurately converts the seismic profile into a lithological profile.
Analysis of Physical Layer Security Communication in Smart Grid
Authors: Xu Aidong , Zhang Tengyue , Chen Liang , Tang Jie , Jiang Yixin , Guo Juan , Fei Lingzhi , Zhang Peng , Zhang Yunan
Published: March 2021

In the smart grid environment, the secure transmission of power data is a major challenge for smart devices. Due to the broadcasting characteristics of wireless media, wireless communications in the power grid are vulnerable to eavesdropping attacks. Traditional encryption implementation requires high costs in wireless environments. In order to improve the security of data transmission in the power grid, physical layer security (PLS) has attracted widespread attention. However, there are too many idealized and unrealistic assumptions about the security research results in this field. This paper analyzes a physical layer security communication scheme considering the actual erection distance. When up-layer system break by opponent, the natural randomness of the physical channel will play a role in ensuring system security. We conducted simulations and analyzed the impact of the legal user’s erection distance on the physical layer security performance of data transmission in the power grid, and adopted a targeted secure transmission scheme.
Image Flame Detection Method Based on Improved YOLOv3
Authors: Dai Ziteng
Published: March 2021

The general flame detection method is sensitive to environmental changes and has low robustness, so the detection rate is not high. In this paper, a deep learning flame detection algorithm based on the improved YOLOv3 algorithm is proposed to automatically extract flame characteristics; with the help of MobileNet’s deep separable convolution to compress the deep network model, replace the YOLOv3 backbone network with MobileNet, decompose the standard convolution into deep convolution and point-wise convolution, which can effectively reduce the amount of model parameters, Use K-means clustering to generate Anchor Box at different scales, further enhance the detection effect of the model. This paper conducts data analysis experiments on the self-built flame data set. The results show that the optimized algorithm (M_YOLOv3) has achieved 97.34% average precision (AP) on the data set. The flame target detection algorithm proposed in this paper can achieve high-precision and rapid detection of multi-scale flame targets in flame images with different shapes and sizes.
The Annotation Type of Video Case System Built for Pre-Service Teachers in Teaching Skills Training
Authors: Chen Limin
Published: March 2021

The training program of teaching skills is one of the key elements for pre-service teachers who cultivated in school. Due to the advantages of vivid, image video case are admired greatly by teaching classes teachers, and then, there are many video cases support systems for pre-service teachers emerged. However, they have some common problems which are not conducive to training pre-service teachers’ teaching skills, including listing integrated instructional videos and a small amount of video review. Base on this situation, the author built a training case system for pre-service teachers, which can add annotations on fragments, search, evaluate, and share the content as a whole, by using the advanced network and informational technologies, the aim is to help pre-service teachers expand the time and space on training teaching skills, and improve the research efficiency and effects on training.
Research on the Application of Power Grid Big Data in Census Work
Authors: Wang Siyao , Hao He , Liu Yuan , Zhao Yuanyuan , Wang Yimeng , Du Ye
Published: March 2021

Aiming at the problem of “No one at home” in China’s census work, a solution based on big data of power grid to the census work is proposed. With the support of big data technology, models for identifying vacant houses and predicting households at home are established by analyzing the electricity consumption and trends of each house. Besides, a data analysis platform based on power grid big data was developed to provide census staff with data support, such as the vacancy status of residential houses and the probability of residents at home. It has been verified that the research program is effective, which can reduce the workload and improve the efficiency of the census work.
Research on the Construction of City Information Modelling Basic Platform Based on Multi-source Data
Authors: Bi Tianping , Zhou Fei , Yang Xiaoxiao , Zhu Yishu , Diao Xianzhe
Published: March 2021

The construction of city information modelling (CIM) is of great significance for the formation of a new smart city. In this paper, on account of UAV tilt photography, BIM model, Internet of things traffic data, to build a CIM platform under multi-source data, a pilot study was carried out in Tiexi New City. The development platform of Terraexplorer Pro based on the Skyline system is combined with the main technical support of BIM, GIS, and IOT to construct CIM. Its purpose is to achieve static and dynamic, ground and underground, indoor and outdoor integration, and provide prospects for future urban evolution. This study can contribute a reference for other CIM planning, and equip an effective scheme for smart city system planning and urban governance.
Design of Air-cooled Temperature Control System Based on PWM Regulation Technology
Authors: Hu Jingying
Published: March 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

“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.
Application of UAV Oblique Photography in Scheme Design of Water Environment Comprehensive Governance
Authors: Yan Fei , Chen Rong , Gao Hongyuan , He Yixia , Chen Hong , Wang Ning
Published: March 2021

With the increasingly prominent problems of water ecology and water environment, regional overall planning and systematic management of water environment is a new mode of water pollution harnessing work under the background of the new era. The effectiveness of water environment governance largely depends on whether the scheme is reasonable or not. Therefore, intuitively reflecting the design results is the first step of water environment comprehensive treatment. At present, the scheme design mode of water environment governance mainly uses CAD to design and renderer to render, which can no longer fully meet the needs of design with a fixed perspective. Based on this, this paper proposes a scheme design method of water environment comprehensive treatment based on UAV tilt photography technology. Firstly, the three-dimensional model of the research area is obtained by UAV tilt photography, and then the scheme is designed based on the three-dimensional model. Finally, the scheme based on the three-dimensional model is compared with the traditional design scheme. The results show that the water environment comprehensive treatment scheme based on oblique photography has more diverse functions.