bluuebunny/crossref_metadata_2025_split huggingface dataset:
Summary of calculation methods of engineering earthwork
Authors: Liu Qinglong , Duan Qiqing , Zhao Peng , Ren Hongwei , Duan Haoran , Liu Gengle , Wang Zhaochen , Duan Zichao , Qin Lei 
Published: March 2021

Abstract
Earthwork calculation occupies an important position in all aspects of engineering construction, and its calculation accuracy and efficiency will have a significant impact on engineering construction. This article analyzes and summarizes the calculation results of various methods and software used in calculating earthwork; points out the shortcomings of the existing earthwork calculation methods; discusses the future development direction of earthwork calculation, which requires not only high accuracy, but also Faster and smarter information feedback provides timely and effective reference and guidance for project construction.
Research on the awakening Algorithm of sleeping members in drugstore
Authors: Zheng HaoTian , Li Tao , Song Yan 
Published: March 2021

Abstract
The Awakening of sleeping members is the focus of smart marketing. The cost of losing a sleeping member in existing pharmacies is about 1/4 of the cost of adding a new member. This paper abstractly classifies the problem of whether the sleeping members are easy to be woken up in drugstore into a dichotic problem, and solves the problem that the existing sleeping members’ wake-up model is applied to the users of the sleeping members in drugstore and the prediction accuracy of the users’ consumption in the store is not high. According to sleep members have rich behavior characteristics, behavior, medical conditions, gender, age, payment, the membership card integral, active level characteristics such as properties, through the analysis of these sleep member attributes in order to distinguish between normal users and sleep, characteristics and the actual scene at the same time, using the method of feature selection to remove redundant features to form a new expression model. On the basis of multiple perspectives, multiple algorithm models were integrated to wake up the sleeping members. The actual store-to-store consumption data of the sleeping member users were used to verify and compare the effectiveness of the algorithm model, and the characteristic expression model with the best discrimination and accuracy was selected. Through the experimental study of the abstract dichotomy algorithm, it is found that the sleeping members with what characteristics are easy to be woken up. The experiment proves that the feature expression model has a high degree of differentiation for the sleeping users, and has a high accuracy in judging the users who are likely to be woken up among the sleeping members of the pharmacy.
Research on Optical Display Technology of Virtual Reality Technology Based on Optical Image
Authors: Lu Jing 
Published: March 2021

Abstract
In order to overcome the limitations of traditional optical display technology, a novel optical display technology based on optical image virtual reality technology is proposed. The optical display technology combines with virtual reality technology, relying on the Internet platform, fully and comprehensively simulates the visual display effect of human eyes. The results show that the optical display technology can break through the limitations of traditional optical display technology, improve the display effect, and build a high immersion virtual reality world for users.
Control of Electronic Mechanical Brake System on Automobile Electromechanical Brake
Authors: Chen Yiqing , Li Youtong 
Published: March 2021

Abstract
To verify the brake effect and the mechanism of exerting the brake of the electronic mechanical brake (EMB) system in the brake process of electronic vehicles, the working environment and function of each component of EMB are analysed based on the current relevant laws and regulations. Each component of EMB is calculated and selected. The mechanical relationship between the components of the EMB system are analysed, the preliminary EMB structure is designed, and the key parameters such as EMB brake pressure and EMB brake clearance elimination time are tested. Results show that the difference between the experimental value and theoretical value of the brake pressure test of the preliminary designed EMB structure aren’t large, and the brake clearance force increases with the increase of the locked-rotor voltage. When the voltage increases to 12V, the theoretical brake clearance force is 16510N and the experimental value is 15998N. During the EMB brake clearance elimination time test, the maximum speed of the brake block running at a constant speed during the elimination of brake clearance phase is 2.39mm/s, which is similar to the theoretical value Vmax=2mm/s. The experimental and theoretical motor brake speed is reduced to 88 rpm/min at 0.15s and at 0.13s. With all indicators considered, the EMB system can be used to control electromechanical brakes and provide certain guidance for its development.
Research on Computer Aided Design in Environmental Design in The New Period
Authors: Yong Jianhua 
Published: March 2021

Abstract
This article combines the new characteristics and changes brought by the widespread use of computer technology to the environmental design industry, and analyzes the basic characteristics of computer-aided design in view of some of the concerns of environmental design in the network age, and points out that the new era willfurther actively develop computer an effective way to assist design.
Improved Design and Numerical Calculation of Chaotic Circuit in Jerk System
Authors: Yao Jizhi , Deng Jianjie , Li Xu , Yan Xudong 
Published: March 2021

Abstract
Chaotic secure communication has always been a hot topic in nonlinear circuit research. In this paper, an improved jerk chaotic circuit is designed by using cell circuits and nonlinear function circuits. Simulation results show that the circuit can generate multi-scroll chaotic attractors. The position and number of chaotic attractors can be controlled by adding or deleting the number of nonlinear function circuit or by adjusting its parameters. Theoretical analysis and numerical calculation show that the circuit can describe jerk system, and the calculation results are consistent with the circuit simulation results. The circuit is not only simple in structure, easy to operate and high in experimental accuracy, but also easy to control chaos, which is widely used in secure communication.
Design and Development of “VR + Arduino” Immersion Interactive Experiment Case
Authors: Yong Jiu , Wang Yangping , Dang Jianwu 
Published: March 2021

Abstract
In order to guide students to master Arduino development board, sensors, unity3d and other software and hardware application methods, familiar with the development process of virtual reality and intelligent hardware control platform. Learning from the WeChat "jump and jump" finger game, based on virtual reality technology and Arduino intelligent hardware control platform, the virtual intelligent fitness device with good immersion, strong interactivity, and combining entertainment, exercise and virtual experience is developed and designed. The "virtual reality + Arduino" immersion interactive experimental platform provides immersive and interactive immersive helmet and desktop screen display modes, uses a variety of intelligent control methods such as in-situ jumping action or grip to replace the finger pressing action in WeChat to control the jump of the game model, and can choose the sky, ocean, land and other fitness Scene, to achieve physical exercise and intellectual purposes. In the process of case design and production, virtual reality immersion equipment, grip and running pad are combined with fitness to cultivate students’ comprehensive practical innovation ability.
Research on TMS-based Business Channel Bearing Compilation
Authors: Zhang Lixia , Yu Mengxi , Xue Honglin 
Published: March 2021

Abstract
This article is based on a comprehensive analysis of application bearing work methods and specific business models according to various types of power grid transmission services. For different application methods of power grid transmission services on each service transmission network and data transmission to the service network channel bearing work the way of analysis is different. Based on the security level of the power grid transmission service, the method of carrying the service transmission channel network, the method of carrying the service transmission network, the direction and flow of the service, this paper analyzes the way of carrying the channel on the business network.
High Capacity Blind Information Hiding Based on Autoencoder
Authors: Bao Zhenjie , Jin Yadong , Liu Yue , Hu Jingyun 
Published: March 2021

Abstract
To realize image information hiding, we train a multi-layers autoencoder includes an encoder and a decoder. Using encoder architecture, we input the secret color image and generate the cover image where the size stays the same directly. In addition, we reconstruct the secret color image by inputting the stego images passing on the decoder which accomplish the secret image blind extraction. Our method realizes a high resolution and high payload color image steganography. Experimental results show that we can realize the high capacity blind specified secret images information hiding automatically by our method.
Structure design of a new carrot grading device
Authors: Wang Jian , Li Zhenhua , Guo Junwang 
Published: March 2021

Abstract
In this paper, aiming at the design of the sorting device for rod-shaped vegetables and fruits, the research status of grading device at home and abroad is analysed, and a variety of grading device mechanisms are compared, and the design scheme of a variety of carrot grading device is determined. Through analogy analysis, a carrot grading device is designed. The grading device is composed of cleaning and feeding device and automatic grading device. The cleaning uniformity device is mainly to put carrots in the pool for cleaning, and then the motor operates, and the conveyor belt with inclined partition starts to work, and the carrots are transported to the grading device through the partition board. The principle of automatic grading device is to grade carrots by adjusting the gap between two adjacent conveyor belts. The gap size is arranged from small to large in order to realize automatic grading according to the diameter of carrots. In this paper, the following aspects are analyzed: by comparing the mechanism of other grading device, the carrot grading device is analyzed and designed. The mechanical part is designed to be three-dimensional using Pro/E modeling, as well as part modeling and assembly. At present, there are some defects in the design of rod-shaped vegetable and fruit grading device in our country. The research has filled the defect and has high practicability.
Cross-model retrieval with deep learning for business application
Authors: Wang Yufei , Wang Huanting , Yang Jiating , Chen Jianbo 
Published: March 2021

Abstract
Cross-modal retravel has been used in many fields, such as business and search engines. Most search engines for business are text-based, but text-based search engines are limited by equipment and the strict requirement for knowledge. Text-based search needs keyboards to finish the search process, which requires users to have the knowledge of using keyboards. Compared to the text-based search, audio-based search has advantages. First, it avoids the traditional ways of inputting information. And it gets rid of the gap in time between inputting information for searching and getting useful information. In this paper, we propose a way to use audio to search images for business applications. We use deep learning to implement cross-modal retrieval systems between images and audio. We first extract features from images and audio respectively. And then we implement a neural network with two identical networks to learn the correspondence between images and audio. The first network extracts the features from images and audio further for calculation, and the second network learns whether two features from different modalities are related. This research provides a new way for business applications to search for information more instantly.
Prediction of Patients’ Length of Stay at Hospital During COVID-19 Pandemic
Authors: Pei Jianing , Lin Xin , Chen Qixuan 
Published: March 2021

Abstract
Machine learning has been extensively used in diverse healthcare settings since the 21st century. Statistical models are proven to be powerful in detecting early disease symptoms and could potentially aid decision-making in the healthcare system. To help improve medical resource allocation during COVID-19 pandemic, we aim to develop machine learning models that predict each patient’s length of stay (LOS) in hospital. Three machine learning models, namely, K-nearest Neighbors Algorithm, Logistic Regression and Random Forest are implemented and optimized on the same healthcare dataset. The final accuracy of each model is 0.3442, 0.3524 and 0.3541 respectively, which are not very high. Our subsequent correlation analysis on the healthcare dataset shows the patients’ features used do not provide sufficient information for accurate LOS prediction. Yet, machine learning approaches could potentially yield much better results if the data quality can be improved by including additional relevant patient features and breaking LOS into more appropriate intervals. More detailed healthcare data should be obtained to make the LOS prediction useful for healthcare management.
High-Performance Secure Access and Data Privacy Protection Method for 5G Border Routing Gateway
Authors: Fang Yunhui , Wang Jihua , Ying Xiaolei , Wang Rongli 
Published: March 2021

Abstract
With the substantial increase in the amount of data information and the development of 5G technology, boundary computing technology based on 5G, as a real-time and efficient data processing method, has broad application prospects. The aggregation gateway further aggregates the power injection data of all electric energy storage units and sends it to the power company. The power company uses its own private key to access the aggregated data. Row decryption to obtain the total power data recovered in each time slot. The paper proposes a new solution using Lagrangian interpolation to ensure data privacy and security. The security shows that the algorithm can not only protect the privacy of the electric energy storage unit, but also realize the confidentiality and integrity of the injected data. Efficiency analysis shows that this algorithm can significantly reduce computational complexity and improve communication efficiency.
A Robust Segmentation Algorithmfor for 3D Complex Meshes
Authors: Hou Yu , Zhao Yong 
Published: March 2021

Abstract
Segmenting 3D mesh is a difficult topic in computer graphics. This paper proposes a new mesh segmentation algorithm. First, we over-segment the input mesh to generate a series of superfacets. Second, we introduce a novel region fusion algorithm to obtain the segmentation result. Various experiments show that our algorithm is able to handle 3D meshes with complex shape and rich details. Even though the input mesh has noises or holes our algorithm can still achieve satisfactory results.
RETRACTED: Research on Computer Programming Optimization System Based on Big Data Technology
Authors: Lu Haiyang 
Published: March 2021

Abstract
To improve network programming efficiency, the paper proposes a network automatic programming method based on big data analysis technology. Build a big data analysis model for automatic network programming. The dissertation uses the distributed information fusion method to extract the significant data feature of automatic network programming, extract the associated feature quantity of automatic network programming big data, and combine the fuzzy membership analysis method to carry out the synthesis operation and fuzzy comprehensive evaluation decision of automatic network programming and build network automation Programming multi-level index evaluation system to realize automatic network programming optimization.
Using K-Means Algorithm and Convolutional Neural Networks to Identify Alzheimer’s Disease in Coronal Brain Scans
Authors: Qiao Hanquan 
Published: March 2021

Abstract
Accurate diagnosis of Alzheimer’s Disease (AD) is of great importance to patient care, especially in the early stage, because it enables patients to take preventive measures before irreversible brain damage occurs. Obviously, if computer-based diagnostic models can make better predictions than doctors, the future of health care will change dramatically from the current system. Based on magnetic resonance imaging (MRI), this paper realizes a classification algorithm to distinguish AD patients from normal people. OASIS Brain Imaging Data Set is an open source online data set, which is a coronal bitmap of the human brain. Canny edge detection algorithm is used to extract image information, and K-Means and convolution neural network (CNN) are used to train the data set. The results show that the recognition accuracy of the training set is 99%, and 26% higher than that of the K-Means algorithm, which can be effectively used in the early diagnosis of Alzheimer’s disease.
Research on Multimodal Emotion Analysis Algorithm Based on Deep Learning
Authors: Xiao Xuan , Yang Jie , Ning Xinyi 
Published: March 2021

AbstractIn recent years, more and more people are keen to express their feelings and opinions in the form of pictures and texts on social media at the same time, which makes the multimodal data with pictures and texts as the main content growing. Compared with monomodal data, multimodal data contains more information and can reveal the real feelings of users. The analysis of the emotion of these massive multimodal data is helpful to better understand people’s attitudes and viewpoints and has a wide range of application scenarios. In order to solve the problem of information redundancy in multimodal emotion classification tasks, based on the tensor fusion scheme, a multimodal emotion analysis method based on attention neural network is proposed. This method constructs a text feature extraction model and an image feature extraction model based on attention neural network, which highlights the key areas of image emotional information and the words containing emotional information, which makes the expression of single-modal features more concise and accurate. The tensor product of each mode is regarded as the joint feature expression of multimodal data, and the redundant information of joint features is eliminated by principal component analysis, and then the emotion category of multimodal data is obtained by support vector machine. The proposed model is evaluated on two real Twitter image data sets. The experimental results show that, compared with other emotion classification models, this method has a great improvement in classification accuracy, recall rate, F1 index and accuracy.
Research on Chinese License Plate Recognition Algorithm Based on Convolution Neural Network
Authors: Pu Baoqing 
Published: March 2021

Abstract
As an important part of intelligent traffic management, license plate recognition has very important research value. In order to solve the problem that the location of traditional license plate detection methods is not accurate and the detection results are easily affected by the environment, this paper proposes a license plate detection algorithm based on Faster R-CNN and Inception ResNet_v2, which realizes accurate license plate detection on VOC license plate data set by means of transfer learning. The effective extraction of a single character is realized by using the pixel statistics method in the detection results, and then the mLeNet5 convolution neural network model is designed to recognize the single character. The experimental results show that the algorithm can achieve efficient and accurate recognition of license plate characters with occlusion and angle tilt.
Research on Information Services Integrated Method Based on SOA
Authors: Li Jinfeng , Sun Bingcheng 
Published: March 2021

Abstract
The paper firstly analyze the current problems in the information services integration, then the architecture of information services integration based on SOA is designed. The paper also gives a integration method based on ESB and Web Service. Compare the differences between SOA and traditional integration methods. We know that the integration method based on SOA makes full advantage of the information services system. Results show that the method is scientific and easy to use.
Energy-saving solution based on the Internet of Things electronic boundary pile
Authors: Xia Weiran , Min Youjia , Pan Jicong , Jia Bowen 
Published: March 2021

Abstract
As an important tool of scope management, boundary pile is also an important basis for judging boundary violations and an important means for the supervision of industry authorities. However, the external environment where many boundaries are located is so bad that it is difficult to measure the manpower and material resources wasted in manual inspection and maintenance management every year. In view of this situation, a new type of boundary pile is designed in this paper, which can accurately locate the specific location of the problem by collecting GNSS (Global Navigation Satellite System) positioning information, and can also collect the surrounding state by carrying sensors, so as to save a lot of manpower and material resources for inspection.
Measurement of Road Slope based on Computer Vision
Authors: Guo Yuanxin , Chen Guanyu , Zhang Jiaming 
Published: March 2021

Abstract
This paper proposes a driving road slope measurement algorithm to provide a reference for adjusting the vertical angle of headlights. It uses a combination of Canny Edge Detection and Hough Transform to process images from camera to detect and fitting lanes. The angle of ramp can be calculated by Mathematical Model.
An Overview of Research on English Intelligent Phonetics Based on Deep Learning
Authors: Hu Huiping 
Published: March 2021

Abstract
With the continuous improvement of the development level of the socialist m arket economy, education has been gradually pushed into a new historical period. The development of computer science and technology and the progress of language teachin g and learning methods, especially the rise of artificial intelligence, have opened up ne w ways for English language learning. The core of computer-assisted English language learning is speech recognition and evaluation technology, and speech recognition tech nology is the key. This paper takes deep learning as the main research perspective, co mbing and elaborating the concept, training process, specific models and applications of deep learning, in order to apply deep learning technology to English speech recognit ion system more maturely, thereby helping English learning Enhance the learning abili ty of English pronunciation.