bluuebunny/crossref_metadata_2025_split huggingface dataset:
Control Analysis Based on the Operation of Automatic Captive Cleaning Equipment
Authors: Weng Yunxian , Zhao Yaping , Shi Juncheng 
Published: April 2021

Abstract
The project in this paper is a “ district twinning” project of Suzhou polytechnic institute of Agriculture. In the paper, the author analyzes the sheds of pig cleanup job needs for farm in Yuping Mountain Ecological Park in Suzhou, and designs a new cleaning device and its appropriate electrical control systems without changing the traditional captive facilities. The paper first analyzes the Control Analysis Based on the Operation of Automatic Captive Cleaning Equipment.
Finally, the actual installation and debugging is explained, a brief description of several common problems, solutions and matters needing attention are given. The practice proves that the whole electrical control system is practical and reliable, and the desired effect is achieved.
Numerical simulation of sound amplification base on finite difference method
Authors: He Xinhai , Xie Zhuoxuan , Zhang Yaofang , Lu Huiping 
Published: April 2021

Abstract
In daily life, we will find that the loudspeaker device is always cone-shaped, because the conical device has a good sound amplification effect. This article mainly explores the influence of the shape and size of the conical device on the loudness of the distant sound by establishing a theoretical model and using the finite difference method for numerical simulation. At the same time, the theoretical numerical simulation method is promoted, so that it can be widely used in more aspects.
Optimization of centrifugal fan position in a particular VRF outdoor unit for European market
Authors: Chen Mao , Wang Yuxian , Liu Yicai 
Published: April 2021

Abstract
Variable refrigerant flow systems (VRF), in which refrigerant flows directly through long connecting pipes into different indoor units, are nowadays having more and more market share in central air-conditioning industry. A special flat structure of air-cooled VRF outdoor unit is expected in European market due to local architecture characteristics. Centrifugal fans with forward-curved blades are suitable under this situation. However, the layout concerning the fan position is of key importance for the heat exchange performance. Four layouts with different fan position arrangement in a VRF outdoor unit supposed to reach nominal cooling capacity of 22kW were initially designed and optimized by Ansys. Air volume rate and uniformity through the fin and tube heat exchanger (FTHE) were investigated with velocity contours. When FTHE was set perpendicularly forming a triangle compact space with neighboring cabinet shells, simulations showed a better layout in which the two fans were put side by side but with one near front and the other near rear shell in the bigger empty space. Further adjustment in position details was also carried out via more simulation on selected planes and finally, air volume measurement and nominal capacity measurement were made, matched with four ducted indoor air-conditioning units, showing good performance.
An overview of the vessels for electrical submarine cable laying
Authors: Yuan Zhoulong , Bao Shanjun , Lin Junfeng , Zhang Zhigang , Yu Qiaohao , Liu Zhen 
Published: April 2021

Abstract
The cable laying vessel is a key factor for the submarine laying routing, insta llation, and layout. The loading and laying capabilities of a submarine cable vessel alw ays determine the speed and costs of corresponding cable construction engineering, wh ich will significantly affect the electricity transmission of the islands, wind farms, and other offshore energy engineering. Therefore, an overview on the recent development of domestic and international cable laying vessels and related construction equipment i s conducted with the summarizations of the development trends. Furthermore, a perspe ctive of the cable laying vessels in the future is also proposed.
Simulation Study on Circular Search and Capture Probability of Certain Torpedo
Authors: Bi Simin , Yu Jie , Li Lin , Wang Chaoyong , Cheng Chunhua 
Published: April 2021

Abstract
The influence of the distance between target and torpedo water entering point and target heading on the airdrop torpedo trajectory and acquisition probability are studied and analyzed through modeling and simulating the torpedo underwater target search and attack. In such three cases as the same target board angle different range and different target angle the same target range and different angle different target range, the trend of target acquisition probability are put forward, which can provide some theoretical references for the actual operational research.
A Parallelization Algorithm of Singular Value Decomposition
Authors: Duan Jianfeng , Cun Xian’e 
Published: April 2021

Abstract
Matrix factorization algorithm is one of the recommendable algorithms. In order to tackle the inefficiencies of the traditional matrix factorization algorithm like the slow training time and the insufficient computing resource for the mass data, a parallelization algorithm of singular value decomposition (SVD) under the Spark framework is proposed to perform SVD, standardization, and dimensionality reduction for the user-rating matrix, and obtain the user-feature matrix and project-feature matrix. The recommendation model is obtained by determining the prediction rating. MovieLens data show that this algorithm can significantly shorten the training time of the model, improve the running efficiency of the recommendation algorithms for the mass data, and improve the algorithm accuracy.
Simulation Analysis of Signal Coverage of ADS-B Base Station Based on DEM
Authors: Cao Bo , Liu Wenping , Zhang Liang , Tang Zhihu , Liu Kun 
Published: April 2021

Abstract
The most basic requirement is to provide continuous and reliable flight dynamic information for monitoring equipment within the range of air traffic control. ADS-B is the future major surveillance technology determined by the International Civil Aviation Organization. Based on the theory of electromagnetic wave and electromagnetic field, this paper analyzes the influence of space propagation on ADS-B signal coverage. Combined with DEM topography, the sightline range cut-off distance of ADS-B was calculated. The base station antenna is simulated and the antenna radiation performance is calculated. In this paper, the actual application of ADS-B base station signal coverage is simulated and the methods and measures to improve the signal coverage of base station is put forward. According to the experiment results, this method meets the needs of engineering application, has certain practical value, and provides a basis for the site selection of base stations.
Open VPN Application in COVID-19 Pandemic
Authors: Zhou Zhengchun , Huang Tongcheng 
Published: April 2021

Abstract
With the use of COVID-19 information, the way in which COVID-19 prevention and control agencies expand their internal networks is addressed. This article introduces the concept of open VPN technology and puts forward a design scheme using open VPN gateway access, which solves the problem of direct reporting of users accessing the system from the external network. At the same time, the paper uses big data analysis based on the ArcGIS Dashboard design to implement a visual and interactive real-time monitoring system of the global epidemic situation, which can timely and effectively obtain the development of the 2019 coronavirus disease epidemic. The system emphasizes fast and convenient online dynamic display of the global distribution of the epidemic, real-time statistical analysis of the spatial distribution of the epidemic, dynamic display of the severity of the epidemic in various countries and regions and the development trend of the global epidemic, and promotes epidemic monitoring to a certain extent Work development.
The Application of Yolov4 And A New Pedestrian Clustering Algorithm to Implement Social Distance Monitoring During The COVID-19 Pandemic
Authors: Li Junxiao , Wu Ziao 
Published: April 2021

Abstract
Based on the global spread of COVID-19 epidemic, this paper implements an application of social distance monitoring in public places, aiming to control the spread of virus by controlling the social distance of pedestrians. The application mainly uses YOLOv4 object detection algorithm and DeepSORT multiple objects tracking algorithm to detect and label pedestrians, and uses affine transformation to calibrate the scene to a more intuitive bird’s-eye view. Based on the analysis of pedestrian movement, the author proposes a novel pedestrian clustering algorithm to avoid the impact of peers on the monitoring results. Finally, three indicators are selected to classify the pedestrian to analyse and evaluate the risk of virus infection in a certain place. In this paper, comparing the yolov4 algorithm with the most suitable performance of other research results, the author indirectly concludes that yolov4 is the most suitable method in the application of social distance monitoring. And the new pedestrian clustering algorithm plays a role in the application, which improves the practicability of the application. Through the experiment, it is found that the social distance in the scene can be monitored in real time and accurately, and there is a correlation between the average distance of pedestrian clusters, the density of pedestrian clusters and the infection index, which can be used to evaluate the safety of places and prevent the spread of virus.
A Similarity Algorithm Based on Hash Feature and Random Mapping
Authors: Lin Ke , Man Rui 
Published: April 2021

Abstract
Similar text algorithm is the main method for news topic extraction and online public opinion hot spot tracking. The traditional text similarity method has the problems of high data dimension and high computational complexity. This paper proposes a method of news text clustering based on hash feature and random mapping. The method based on hash feature reduces the dimensionality of the text. At the same time, the article clustering preprocessing based on random mapping can speed up retrieval. Experiments show that the algorithm proposed in this paper performs well on related data sets.
Study on Droplet Composition Recognition Based on LSTM Network Combined with Convolutional Neural Networks
Authors: Lu Zhengqi 
Published: April 2021

Abstract
The collision and spreading processes of droplets are not the same due to the physical and chemical characteristics of droplets of different composition. A droplet collision experiment system was set up to capture videos of the droplet collision and spreading processes which changed as the droplet composition changed. A cascaded network was applied to extract spatial-temporal features in the videos and realize droplet composition recognition. The proposed method achieved 80% classification accuracy, which was relatively better performance compared to single back propagation network.
S11 Parameter Calculation of Frequency Selective Surface Based on Deep Learning
Authors: Ren Xi , Liu Changlin , Zeng Minghui 
Published: April 2021

Abstract
This paper proposes the FSS-CNN network model as a forward predictor, replacing the function of the Maxwell equation solver of commercial software. The predictor is different from the numerical optimization method, and the data-driven method based on machine learning (ML) can be expressed and generalize complex functions or data to discover unknown relationships between a large number of variables. In the frequency range of 2∼18GHz, the S11 parameter prediction of the corresponding metal pixel pattern can be easily realized by an accurate forward neural network model. The MSE reaches the level of less than 0.1 and the time consumption is less than 0.07s, which meets the requirements of fast, efficient and automatic calculation.
Analysis and Application of Dynamic Programming
Authors: Xu Jinyi , Wu Shaofei 
Published: April 2021

Abstract
Dynamic programming is a part that is not well understood in the introductory learning of algorithms, but it is also a part worth learning. It has been successfully applied in many fields, such as gene sequencing, human flow control, and hydropower resource allocation. This article systematically explains the principle of dynamic programming. At the same time, through the comparison with other algorithms, we can deeply understand the nature of dynamic programming and its advantages and disadvantages in solving problems compared with other algorithms. Finally, it analyzes the problem-solving methods and steps of dynamic programming based on relevant application examples.
A Permutation Test for High-Dimensional Covariance Matrix
Authors: Li Shanshan 
Published: April 2021

Abstract
In the case of “big p and small n”, classical statistical methods and theories are difficult to apply to high-dimensional data problems. This article considers testing the equality of two sample covariance matrices. When both the dimension p and the sample size n tend to infinity, a permutation method is proposed. The new test method eliminates the limitation of sample distribution and dimension. Numerical research shows that the proposed test method has good results in both normal and non-Gaussian distributions under high-dimensional data.
A Line Loss Calculation Method Based on Big Data and Load Curve
Authors: Yang Yining , Xue Yang 
Published: April 2021

Abstract
In this paper, a new technique line loss calculation method based on load curve is presented. First, the data is preprocessed and the outliers are removed. Then the load curve is analyzed, and the load current per day is fitted by polynomial approximation method, and the load current curve is obtained by nine-order fitting. Considering that the current at different time points may affect the fitting of the data, time sequencing is carried out to improve the fitting accuracy. Then for the resistance calculation, the voltage difference between the platform side and the user side and the platform side current are used to calculate, avoiding the use of line length which is difficult to measure in practice. This method makes full use of the available power network data, rearranges it, calculates it according to the continuous load curve, and gets more accurate and reliable results.
Research on The Application of Big Data in E-Commerce Enterprise Supply Chain Cost Control
Authors: Yu Qin 
Published: April 2021

Abstract
Big data technology obtains value information by collecting relevant data of e-commerce enterprises, strengthens the cost control of the enterprise supply chain, and adopts intelligent and digital analysis methods to enhance the core competitiveness of e-commerce enterprises. Based on the application of big data technology in e-commerce supply chain cost control, the paper analyses the current problems of e-commerce enterprise supply chain cost control, and proposes a solution to the problem by applying big data technology to reduce procurement costs.
Single Information Extraction Algorithm of Mechanical Equipment Usage Information Recording Based on Deep Learning
Authors: Luo Yanhao , Wu Wenyuan , Lyu Pengcheng 
Published: April 2021

Abstract
The compressor work order record document records the compressor fault information and the corresponding solution. This paper attempts to use natural language processing technology to analyze the compressor work order record document and automatically identify the equipment entity and fault description information. Firstly, the equipment information and fault information are separated from the work order record document, and the equipment entity data set and fault description data set are constructed. Then, based on the BERT preprocessing model, the sequence labeling model is fine-tuned, and the automatic identification models of compressor equipment name and fault description are constructed respectively. The experimental results on the equipment entity data set and fault description data set show that the automatic identification F1 value of the above model for compressor equipment entity and fault description reaches 95.05% and 74.44% respectively, which exceeds 9.71% and 16.85% of the BiLSTM+CRF model commonly used in the industry, which verifies the effectiveness of the method.
Design of Rolling Ball Control System Based on Image Recognition
Authors: Jian Yuanming , Qin Chuanwen 
Published: April 2021

Abstract
Aiming at the problem of light interference affecting image recognition, this paper designs a rolling ball control system based on image recognition. The system consists of the main controller Mega 2560, OpenMv image processing module, steering gear execution module, display module, and mechanical structure test bench. The system realizes that the small ball only relies on adjusting the tilt of the flat plate, completes the function of auto-interference, and quickly restores a stable static state. The system has good stability. The use of image recognition to identify and locate the ball has a good effect, and the control effect of the PID control algorithm on the ball has been debugged to achieve a good effect of stability, smoothness and high accuracy.
Scientific Application and Research of Computer Technology in Sports Training
Authors: Zhang Yang 
Published: April 2021

Abstract
With the development of economy, the role of computer technology in the field of education has gradually become prominent, especially the application of computer technology represented by multimedia technology has greatly promoted the quality of teaching. Computer virtual reality technology also provides a new teaching method for college physical education and promotes the improvement of college physical education. Based on computer vision technology, this paper constructs a systematic and complete virtual reality technology framework for modern physical education teaching, analyses in detail the realization of each key step in the framework, and provides technical guidance for the practical application of virtual reality technology in physical education.
Design and Analysis of Intelligent Small-Micro Enterprise Cloud Service Model
Authors: Wu Shuoshuo , Zhang Jian , Du Juan 
Published: April 2021

Abstract
The development of a new generation of information technology and the construction of information infrastructure have not only led to a rapid increase in enterprise productivity, but also become a revolutionary driving force for the transformation of enterprises to smart enterprises. The cloud service platform for smart small-micro enterprises researched and designed in this paper solves the troubles of traditional manual recording, heavy and inconvenient information aggregation. It is a kind of small-micro enterprise with multi-organization, multi-tenant, heterogeneous. The intelligent cloud service platform with features such as foreign land can promote more small-micro enterprises to join the ranks of informatization.
Research on optimal path Modeling based on DP Model
Authors: Feng Peinan , Mao Yuxin , Yao Longxuan 
Published: April 2021

Abstract
Nowadays, the emergence of all kinds of games greatly enriches our life and enlightens our wisdom; As a vehicle of enlightenment, the game itself involves the choice of a variety of strategies and the choice of routes and solutions. In the case of multiple constraints, the core idea of strategy choice games is to make the optimal solution to a certain problem, and such a choice plan needs the support of a variety of theories, such as game theory dynamic programming, the application of operations research, and so on. In this case, it is essentially a given condition of the game, using the above known mathematical model to find the optimal solution, that is, under the condition of meeting the safety of the end, the most money is left
When the weather is known and the map is known, we can make the most optimal solution; by using the DP model and the correlation of the TSP problem, we have found a certain rule: give priority to choosing the mine that can bring us income, and then replenish the resources when there is a problem with the resources, so as to plan the best route. For the calculation of money, we take the reverse program to calculate and deduce, and find that level 1 and level 2 can finally make money, and give the specific value in the detailed explanation of their respective problems. Under normal circumstances, it is impossible to know the changes of the weather in the future, so it is necessary to make different analyses for different weather conditions every day; here, we assume a certain strategy, that is, to accept the relatively non-optimal solution with a certain probability, and then through the increase of the number of iterations, we finally retrieve the optimal solution in this hypothesis.
Diagnosis of Fruit Tree Diseases and Pests Based on Agricultural Knowledge Graph
Authors: Guan Lianzheng , Zhang Jian , Geng Chuanwei 
Published: April 2021

Abstract
In order to realize the accurate prediction of fruit tree diseases and pests in the text description, this paper combines knowledge graph, representation learning, deep neural network and other methods to construct a fruit tree disease and pest’s diagnosis model. The model first constructs a knowledge graph in the agricultural field, and encodes the knowledge in the agricultural field through the knowledge representation model, combines the description text provided by the user to obtain the representation vector of the fruit tree diseases and pests feature entity, and then passes the representation vector and the pest image representation vector through CNN-DNN-BiLSTM network recognizes fruit tree diseases and pests. Three kinds of diseases and pests of apple trees were selected in the experiment: Apple Ring Rot, Apple Scab and Adoxophyes orana. Compared with the VGG network and the BiLSTM network, the precision rate of the model in this paper has been improved by 19%, 4%, 3%, 20% and 25%, 2% on Apple Ring Rot, Apple Scab and Adoxophyes orana, respectively. It can fully integrate agricultural knowledge graph and deep learning technology, and play a positive role in improving the diagnosis of fruit tree diseases and pests.
Research and Discovery of Smart Dumb Gloves
Authors: Yu Xiaoshuang , Liu Suying , Fang Weiyi , Zhang Yankun 
Published: April 2021

Abstract
According to the statistics of China’s health organization, there are a large number of deaf-mute people in the whole country. Sign language is used to communicate between deaf and dumb people. When they communicate with people who don’t know sign language, it will bring a lot of inconvenience. Based on the above problems, we propose a sign language gesture recognition system based on data glove. The overall architecture is composed of stnm32 MCU, flex4.5 bending sensor, mpu6050 six axis sensor, Bluetooth transmission module and mobile phone voice app. It collects the user’s hand movement information through flex4.5 bending sensor and mpu6050 six axis sensor, Then the STM32 microcontroller processes the data and compares it with the action data in the database. Then the action voice command is sent to the mobile phone through the Bluetooth transmission module, and finally the voice playback and text display are carried out through the mobile phone app. The software of sign language gesture recognition system is developed by using processing software based on Java language, which is connected with it to complete the recognition of sign language actions, and then output the words to be said through the intelligent voice system.