bluuebunny/crossref_metadata_2025_split huggingface dataset:
PHP-based undergraduate data reporting and teaching quality evaluation information system
Authors: Zhang Xin , Wei Zhengang , Han Tongjun 
Published: March 2021

Abstract
Teaching evaluation is an important means to evaluate the quality of university education. The traditional teaching evaluation process requires a lot of manpower and material resources to uniformly allocate resources with inconsistent data storage methods. Therefore, it is of great significance to develop a teaching evaluation system for data management and display. The system adopts the PHP development language, the mature oneThink development framework, the data management method is used to process the data, the data is stored in the MySQL database, and the MVC software design architecture and B/S mode are used for the front-end and server interaction. This article describes the key steps of the development system, and proved in practice that the system is stable and compatible with different operating systems and browsers. The results show that this system simplifies the process of teaching evaluation, improves the efficiency of university educational affairs, and has positive significance for the improvement of university teaching quality.
One Draw Attack: Fool Deep Learning Models With Modifying Fewer Pixels
Authors: Gu Shuangjia , Liu Wanping , Li Zhi 
Published: March 2021

Abstract
Deep learning plays the leading role in the field of image recognition, natural language processing, and speech processing. But many researches reveal that the existence of adversarial examples would make models vulnerable. Most of the researches focus on restricting norm distance which result in perturbing images too much. With examples given in this paper, we demonstrate that restricting the number of modified pixels is easier to classify in human vision instead of norm distance, meanwhile, it can get a high accuracy of non-targeted attack on VGG16, ResNet50 and DenseNet201. Our method is adding Bézier curves on original image using differential evolution algorithm (DE). Through continuous evolution, kept the good individuals and eliminated the bad ones, DE can guide the search to the best solution. With DE, we do not need to know the gradient information about models, therefore, our method is robust on different models. When we add more Bézier curves on original image, we can get a higher accuracy which also shows that our method is effective. We find that the distribution of prediction labels focuses on a few categories, which means some labels are easier to attack than the most others. We also think the encode order about labels has an influence on the distribution of misclassified labels.
High-Accuracy Radar Processing Algorithms for OCDM RadCom System
Authors: Xu Ao , Wang Jingqi , Zhang Jin , Zeng Huan 
Published: March 2021

Abstract
In this paper, an orthogonal chirp-division multiplexing (OCDM) symbol-based radar signal processing approach used to estimate the distance and velocity of the target echo in the Radar-Communication (RadCom) system is introduced. And to improve the accuracy of radar resolution, two radar signal processing algorithms, respectively based on periodogram and multiple signal classification (MUSIC) are presented. Simulation results show that these algorithms can significantly improve the scatterer of the radar range profile.
Real-time Data Framework for Marine Environment of the “Southern Maritime Silk Road”
Authors: Lin Bo 
Published: March 2021

Abstract
From the perspective of marine environmental forecasting and in combination with the marine environmental security service for “Southern maritime silk road”, this paper introduces the basic framework of the data-acquisition system for marine-environment forecasting of the “Southern Maritime Silk Road”, which is constructed by research, business and service fields of marine environmental forecasting technology in China: including data source engineering remotely sensed by marine satellite, data source engineering by oceanographic survey (inspection), data source engineering through observation at fixed marine stations, and its support system - transmission network of the observed global Marine environmental data and the supercomputing center. The reanalysis system of data remotely sensed by marine satellite, data system by oceanographic survey (inspection) and data system through observation at fixed marine stations are mainly thrown light upon. The data-acquisition system framework for the marine environment forecasting of the “South Maritime Silk Road” lays a solid foundation for the development and sustainable production of big data industry products of the downstream Marine environment forecasting and security guarantee service.
Research On Grooved Rail Garbage Identification Algorithm Based On Improved YOLOv3
Authors: Huang Xiaojie , Ye Kangquan , Fang Zhongbin , Xie Yongjun , Ma Xizhe , Ji Jing , Wu Qiantong 
Published: March 2021

Abstract
To solve the problem that existing modern tram track cleaning vehicles cannot automatically and accurately identify grooved rail garbage, this paper proposes a grooved rail garbage identification algorithm based on improved YOLOv3. This algorithm firstly extracts the groove rail region in the image, then adjusts and optimizes the residual block and convolutional layer network in the basic network of YOLOv3, and adopts k-means algorithm for clustering analysis to obtain anchor value of the adaptive dataset, which effectively improved the average identification accuracy of grooved rail garbage. The experimental results showed that the improved YOLOv3 model mAP reached 89.16% on the self-made Grooved Rail Garbage Dataset. For the image of 416×416, the recognition speed reached more than 14 frames per second. Compared with the traditional grooved rail garbage identification algorithm, this algorithm not only has higher recognition rate and accuracy, but also has good robustness to environmental changes.
Investigation on House Price Prediction with Various Gradient Descent Methods
Authors: Sun Yan 
Published: March 2021

Abstract
As a branch of artificial intelligence, machine learning has received a lot of attention and has become a popular research field. It connects the huge database obtained from daily life with data prediction, which is of great help in decision making. In this project, we apply linear regression models and use different gradient descent methods, including general, mini-batch, and stochastic gradient descent, to optimize the error. We used convergence rate and accuracy as evaluation criteria, which will be explained via run time of convergence and mean square error respectively. For the regression models, both single-feature and multi-feature hypothesis models are investigated. In consideration of the risks of multicollinearity and overfitting, only simple linear model and its exponential transformation are adopted. The result indicates that mini-batch gradient descent has the biggest comprehensive advantage.
Research on the Evaluation of University Library’s Reading Promotion Mode Based on Computer New Media
Authors: Du Chang’e 
Published: March 2021

Abstract
With the rapid development of new media technology, the reading promotion model has also changed. The libraries in university no longer use the traditional promotion model, they pay more attention to the promotion content of reading. The needs of users should be the center in current reading models. To provide more precise services to achieve the results. On this basis, this paper mainly discusses that the reading promotion mode in the new media environment is carried out from the perspective of evaluation.
Data-to-text Generation via Planning
Authors: Yang Sen , Liu Yang 
Published: March 2021

Abstract
Planning based text generation from structural data is an emerging approach that manages to plan for “what to say.” Existing methods can not dynamically adjust the planning, because they generate complete plans statically without considering the result of surface realization. To address this issue, we propose a model that conducts dynamic text planning and surface realization alternately. In each sentence’s generation, our model first plans the records according to the generated text and the plan history, then realizes the sentence conditioned on the corresponding plan. Experimental results demonstrate that our model performs better on both text planning and text generation. Our model with the dynamic planner achieves impressive results on the E2E dataset.
Quality-Risk Identification and Screening of Aircraft Major Overhaul Project Based on HHM-RFRM
Authors: Zhu Jingqian , Liu Baoping , Dong Peng , Zeng Lingdong 
Published: March 2021

Abstract
With the rapid development of aviation science and technology, the structure and performance of aircraft are more and more complex, and the difficulty of maintenance is correspondingly increased. As a result, quality problems are more likely to occur during the maintenance process. In order to improve the quality of aircraft major overhaul, it is necessary to identify and analyse the risks that affect the quality of aircraft major overhaul. This paper comprehensively uses the improved HHM-RFRM method. At first, the risk factors that may exist in the process of aircraft major overhaul are identified by HHM. And then uses the improved FMEA to carry out triple standard filtration. The multiple standard evaluation is used for further filtering. Finally, 10 important factors are obtained. The purpose of this paper is to put forward a general method to identify the quality-risk of aircraft maintenance projects, which has a certain guiding significance for different levels of aircraft maintenance projects.
A Multi-party Secure E-commerce Voting Scheme Based on SDGHV Algorithm
Authors: Deng Jiahui , Lin Jing , Hu Jiayun , Qian Jiawei 
Published: March 2021

Abstract
In the era of continuous development of e-commerce, the selection of e-commerce affects the development of e-commerce business and management efficiency. Based on the multi-party secure computing technology, this paper designs a set of the electronic voting scheme based on SDGHV multi-party secure data platform for the feedback on customers’ opinions after the goods are sold, which provides a useful reference for the selection of e-commerce products.
Emergency Supply Facility Location Design under Disaster Conditions: Emerging Modeling Techniques and Algorithms
Authors: Dong Di , Cui Na 
Published: March 2021

Abstract
The sudden and frequent natural disasters have brought a series of damages to both the economy and society of all countries in the world and made people to suffer a double loss of life and property. In this context, it raises a claim for emergency rescue activities in terms of more scientific, more accurate and quicker responses. Emergency rescue is taken as one of the most important ways to save lives and reduce losses when natural disasters attack; while proper emergency supply storage facility location is the key to guarantee the effectiveness and efficiency of emergency rescue operations. Based on the characteristics of emergency rescue activities, this paper analyzes the scientific problems in the field of emergency rescue and summarizes the current progress of emergency supply facility location modeling and algorithms with the purpose of laying a theoretical foundation for the future research.
Design and development of a domestic garbage removal management platform based on the Internet of Things
Authors: Xuan Liang , Gan Tianxiang , Hong Wenxiong , Yang Xuan 
Published: March 2021

Abstract
In order to meet the demand of intelligent city for domestic garbage classification and effective transportation, this paper discusses the overall scheme of the domestic garbage classification management system based on the “four classifications” standard of domestic garbage, using the characteristics of the Internet of Things and the existing intelligent garbage classification equipment. Subsequently, an intelligent domestic waste removal and transportation plan was proposed, and a new model of domestic garbage intelligent removal was established. Through the development of mobile terminals and the design of the background management system, an intelligent domestic garbage removal management platform is built, which improves the efficiency of transportation and realizes the intelligent management of domestic garbage classification and transportation.
Research on Construction of Safety Management System in State-owned Enterprises
Authors: Guo Chenggong , Wang Dacheng , Lu Chang , Luo Yun 
Published: March 2021

Abstract
The establishment of safety management system is of great significance to improve safety management of state-owned enterprises. In order to provide some help for state-owned enterprises to establish a safety management system, the shortcomings of state-owned enterprises in safety management are summarized and a general behavior paradigm of establishment of a safety management system from the enterprise level is put forward based on literature research. Besides, the key elements of safety management system are discussed by fuzzy Borda number analytical method based on the grille, and the results show that when setting up the key elements of the safety management system, enterprises should pay more attention to objectives and policies, risk control, emergency management, institutions and responsibilities, laws, regulations and standards, occupational health, performance evaluation, interested parties, check and correct, management review, education and training, on-site management, accident management, leadership and commitment, system support and continuous improvement.
Application of Model-Based System Engineering Method in Civil Aircraft Communication System Design
Authors: Zhang Jiying , Zhang Xinai , Guo Dake , Li Haomin 
Published: March 2021

Abstract
Model-based system engineering theory is a new breakthrough in aircraft development methodology, which can solve the problems of aviation system development, high integration, difficult management and high risks. This paper introduces the basic theory of MBSE, and applies MBSE method in the design of communication system to realize audio communication function. Starting from the needs of stakeholders, perform analysis and define system use cases. According to different scenarios, define the function requirements activity flow and determine the functional model. Then map the functional architecture to the physical layer, carry out scheme trade-off analysis, architecture design and generate physical architecture diagram to ensure that the final solution meets the needs of stakeholders. Through model evolution and iteration, product design is realized. Modeling can provide all parties with a universal and unambiguous design information exchange platform, and at the same time facilitate the realization of system virtual integration and improve the existing design process.
Competitive Behavior and Risk Transmission among Internet Financial Platforms Based on Network Diffusion Models
Authors: Sheng Zhang 
Published: March 2021

Abstract
The differences in business models, lending products and risk control of lending products of Internet financial lending platforms have led to the disorderly growth of Internet Financial platforms in China for a long time. With the voice of financial innovation, the number of platforms and the scale of transactions have increased significantly. In this pager, we will enter the network diffusion model to analyze the physical and statistical characteristics of the competitive behavior and fierce competition behavior of the Internet financial lending platform, and understand the overall characteristics of the Internet P2P lending platform under the specific platform classification, and finally put forward the corresponding policy suggestions.
A bibliometric analysis of poverty alleviation researches in China during the 13th Five-year Plan
Authors: Li Hong , Chen Ji , Li Jiao 
Published: March 2021

Abstract
From the end of 2012 to 2019, 93.48 million population were lifted out of poverty in China. In 2020, which was the final year for poverty alleviation, absolute poverty is eliminated. China have realised a great achievement in poverty reduction. According to the World Bank report, 689 million people living on less than $1.90 a day. At higher poverty lines, 24.1 percent of the world lived on less than $3.20 a day and 43.6 percent on less than $5.50 a day in 2017. Hence, this research was designed to synthesise and represent a comprehensive understanding of the existing Chinese scholars’ articles in poverty alleviation field during the 13th Five-year plan by utilising bibliometric techniques. The result demonstrated the state-of-art of researches in this field. The fundamental articles were identified. The prosperous themes were revealed. Sustainable development and multidimensional poverty are the motor themes.
An Adaptive abnormal flow detection method for new energy stations based on HHT algorithm
Authors: Liang Yin , Xiaoqian Chen 
Published: March 2021

Abstract
With the development of new energy technology, new energy stations are becoming more intelligent and data-based, and cyber-attacks on new energy stations are increasing year by year. In response to the continuous threats brought by malicious traffic to the network of new energy stations, this paper researches on the traffic anomaly detection technology based on network communication characteristics. An adaptive abnormal traffic detection method for new energy stations based on HHT algorithm is proposed, which improves the efficiency of identifying abnormal network traffic and more accurately identifies network attacks against new energy stations. It is verified through experiments that compared with mainstream classifiers, the method studied in this paper can achieve adaptive detection while adaptively determining the threshold, and the detection accuracy can reach 95%, the false alarm rate is lower than other methods, it can provide more accurate identification results for new energy field station network cyber-attacks detection.
Effects of Supplier Concentration on the Financial Performance of Manufacturing Enterprises from Mediating Effect of Commercial Credit
Authors: Yang Yifan , Wang Xiaomei 
Published: March 2021

Abstract
The research on effects of supplier concentration on financial performance of manufacturing enterprises is conducted from the perspective of mediating effect of commercial credit based on financial data of 1090 listed manufacturing companies. MLRM (multiple linear regression model) plus empirical data and the mediating effect test method are used in the research. The results show that the commercial credit plays a partial mediating role in impact of supplier concentration on enterprises’ financial performance, that the commercial credit as a financing means can improve the financial performance of enterprises to a certain extent, and that supplier concentration exerts a significant positive effect on financial performance. Thus, this research can provide theoretical reference in supply-chain management for enterprises.
Research on Supply Chain Integration and Optimization of Live E-commerce
Authors: Feng Taozhu , Wang Xinyue 
Published: March 2021

Abstract
In recent years, with the rise of short video platforms and e-commerce platforms, live streaming with goods has become a hot online sales model. However, the sales volume of live broadcast by big anchors is tens of thousands, which is actually supported by a complete supply chain system. By studying the mode and current situation of the supply chain of live broadcast e-commerce, and analyzing the existing problems, suggestions on the integration and optimization of the supply chain of live broadcast e-commerce are put forward, so as to provide references for relevant personnel in this industry.
Developing a humanless convenience store with AI System
Authors: Low F S , Clifford Lee W L 
Published: March 2021

Abstract
The term artificial intelligence (AI) is no longer a foreign term. It is an ever-growing form of intelligence shown by machine. It is important for retail store owners to adapt to these changes in order to further expand their businesses and profits. For this research study, the focus is primarily based on university students and staff. This system comprises two key parts, namely the Customer’s Application and the Smart Shelf. The Customer’s Application provides a platform for the customers to perform self-checkout through online transactions. The Smart Shelf assists the retail store owners in managing inventory and providing a smooth flow in the business. Within the Smart Shelf, the face recognition helps to provide additional security features and help retail store owners keep track of the number of customers who have successfully registered. The Internet of Things (IoT) allows the retail store owners to monitor and manage their stores without the need to be physically present at the store. The Customer’s Application and the Smart Shelf allow customers to save time as queuing time can be eliminated while embracing a safe and secure shopping experience. This system enables the retail store owners to maximize their profit as it helps in their inventory management and the digitized system will not only save time but will have higher accuracy, minimized mistakes, thus leading to more efficiency. Eventually, they will have the upper hand against their competitors and eliminate the need for additional labour costs.
Building a caring community in problem based learning to improve students’ mathematical connection capabilities
Authors: Tohir M , Atikurrahman M , Maswar M , Daulay L A , Minhaji M , Albadri A , Sardjono W 
Published: March 2021

Abstract
This research aimed to describe the results of the implementation of Problem Based Learning (PBL) done by researchers on Caring Community-based students so that their impact can improve students’ mathematical connection abilities. This research was a Classroom Action Research (CAR) done through 2 cycles, where was in each cycle includes planning, implementation, observation, and reflection. The instruments were used the Package Book and Student Worksheets given to Grade VII students of Ibrahimy Junior High School at Sukorejo. Data Collection tehnique were used by observation, testing, and documentation. Analysing data was used by qualitative descriptive methods through three steps, namely are data reduction, data presentation, and drawing concluding. The results of this research indicated that: (1) there was a significant difference between the results of the cycle I (without worksheet) and cycle II (with worksheet); (2) the statistical results showed that was the significance of Sig. (2-tailed) is 0.00 < 0.05; then it can be concluded that the implementation of PBL based on Caring Community has a significant effect on the ability of students’ mathematical connections; (3) the results of the achievement of indicators of students’ mathematical connected ability among students in the high, medium, and low categories occurred significant differences starting from indicator I, II, and III.