bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction Model and Evaluation of Dynamic Knowledge Map for Deep Learning
Authors: Su Hu 
Published: May 2021

Abstract
The related technologies of knowledge map have been widely applied in many fields, such as search engine, intelligent question and answer, language understanding, recommendation calculation, big data decision analysis and so on. Deep learning originates from the research of artificial neural network, which uses deep network to learn knowledge from massive data. Its advantage is that it can obtain features without manual work. It is one of the current research hotspots to integrate the method of deep learning into the application of knowledge map. In this paper, a dynamic knowledge map reasoning method based on multi-relationship cyclic events is proposed, and an improved multi-relationship proximity aggregator is used to fuse the neighborhood information of target entities to obtain a more accurate representation of entity neighborhood vectors. It improves the speed of manual annotation, reduces the time and labor cost of manual annotation, and improves the migration ability of event extraction system.
Research on Automotive Cloud Technology Platform and Solutions
Authors: Wang Yingzi , Hou Jue , Zhang Yongjia , Fang Xiangyi 
Published: May 2021

Abstract
With the emergence of cloud computing technology, various industries have solved many problems through cloud computing technology. In terms of auto companies, in order to quickly respond to market demand and seek new automotive R&D models, cloud computing technology has been effectively introduced into automobile enterprises and it provides enterprises with new solutions.
Research on the Application of Computer Digital Information Technology in the Practice of Urban Public Art
Authors: Liu Dazhi 
Published: May 2021

Abstract
With the continuous improvement of the level of urbanization and the iterative progress of social economy, as well as the continuous improvement of people’s aesthetic level, the public has gradually become the participants and shapers of urban public art practice. Based on this, this paper first analyses the connotation and role of computer digital information tech, then studies the application of computer digital info tech in urban public art space, and finally gives the optimization of urban public art practice under computer digital info.
The Influence of Campus New Media Platform on the Writing Ability of Students With New Engineering Background
Authors: Lu Zhuoyuan , Zhang Xiaohu 
Published: May 2021

Abstract
Nowadays, science and engineering is the mainstream major in many schools. The number of science and engineering students is very large. According to the statistics of engineering colleges, science students’ practical writing ability is relatively poor. A lot of students’ writing level is seriously degraded during the University. Their knowledge of science culture seems to be eating into their writing thinking. With the popularity of new media platform, the writing ability of students under the background of new engineering should be valued[6]. This paper describes the present situation of science and engineering students’ writing ability. On this basis, this paper puts forward the strategies of cultivating engineering students’ writing ability under the new media technology.
Exploring the Methods of Artificial Intelligence Development on Accounting Bookkeeping System
Authors: Liu Meiying 
Published: May 2021

Abstract
Today, information technology such as artificial intelligence and big data is developing at a rapid pace, and the requirements for financial professionals are also evolving with the times. The role of accountants is quietly changing in enterprises. The future trend is already predictable: the number of general accounting staff engaged in basic finance, auditing and taxation will gradually decrease. Will accountants be replaced by artificial intelligence? This is no longer a fantasy, but a topic that accounting professionals need to face and think about. Based on this, this paper explores the development of artificial intelligence on the accounting bookkeeping system approach.
Research on the Path of Manufacturing Human Resources Management of Realizing Artificial Intelligence Process
Authors: Wang Fang , Li Aining , Song Xuelian 
Published: May 2021

Abstract
With the advent of the artificial intelligence process, the development of the manufacturing industry has entered a new level, especially artificial intelligence technology has made a huge contribution to the human resource management of the manufacturing industry. This article mainly analyzes the human resource management of the manufacturing industry in the artificial intelligence process. It also studied new ways to promote the reform of human resource management in the manufacturing industry.
Research on Computer Simulation Technology and Application of NC Machine Machining
Authors: Liu Shufeng 
Published: May 2021

Abstract
In order to ensure the correctness of NC machining process, it is very important to verify the machining program before NC machining. At present, the development of computer simulation technology makes the technology of verifying NC machining process in the computer environment widely used in the actual production. Therefore, this paper discusses the numerical control machine tool machining computer simulation technology and application.
Analysis on the Application of Network Information Technology in College Public Sports Basketball Teaching
Authors: Hai Wei 
Published: May 2021

Abstract
The 21st century is a society with rapid development of information technology. The popularization of network information technology has laid the foundation for social development and brought great convenience to teaching. The application of network teaching technology in physical education in colleges and universities is mainly to carry out basic course teaching according to the physical education resources of the campus website, and to turn the network teaching mode into a supplement and extension of the course teaching content, which plays a role in guiding the physical education task in the process of spreading the physical education class curriculum. The application of network technology in college public sports basketball teaching enriches the teaching form of college physical education, speeds up the information development of college public sports basketball teaching, and makes basketball teaching content and teaching form more adapt to the development of information society. From the application of network technology in college public sports basketball teaching as the starting point, this paper analyzes the current situation of physical education teaching, and puts forward effective countermeasures.
Discuss the Security Countermeasures and Data Protection of Library Computer Network
Authors: Guo Wanchun 
Published: May 2021

Abstract
With the development of computer networks, the management and operation of the library are gradually becoming networked. And the network management model has greatly improved the management efficiency of the library. Of course, the computer network also makes the library’s data have hidden dangers. This paper mainly analyzes the library computer network security problem and the improvement measures of the library computer network security problem.
Application and Strengthening Strategies of Network Resources in the Construction of Teaching Platform
Authors: Liu Hongyan 
Published: May 2021

Abstract
Colleges and universities are at the forefront of popularizing and applying information technology, so it is necessary and responsible to create abundant teaching and learning resources, so as to provide a platform for teachers to carry out diversified teaching and students to carry out autonomous learning. In accelerating the process of educational informationzation, we should strengthen the development and application of high-quality educational resources, strengthen the construction of network teaching resources system, establish an open and flexible public service platform for educational resources, and promote the popularization and sharing of high-quality educational resources. In teaching, students should establish information concept, enhance information awareness, integrate, explore and apply computer professional knowledge with other courses, and effectively improve their information technology literacy and operational application ability. When using network resources, teachers need to search and download resources repeatedly with the help of search engines. In order to improve the availability of existing resources and integrate and share the scattered teaching resources, this paper proposes the development of the sharing information platform of network teaching resources in Colleges and universities.
Research on New Approaches to the Reform of English Teaching Depend on Multimedia Technology
Authors: Weng Cui 
Published: May 2021

Abstract
With the development of science and technology, big data technology has fully popularized the management of major enterprises, and big data technology has played a major role in the development of major companies. This article mainly analyzes and summarizes the characteristics of college English teaching in the context of big data, and it also explains the operating facilities of the new teaching model.
The Construction of Cloud Computing System for The Optimization of Medium Voltage Non-Blackout Operation Equipment and Tools
Authors: Lai Shuisheng , Lin Yuhuan , Luo Jiajian , Guo Runkai , Guo Junjian , Lin Yuanmin 
Published: May 2021

AbstractWith the continuous development of cloud computing technology in China, cloud computing technology has been widely used in various fields of production. Because there are some defects in traditional automation medium voltage power outage operation equipment and tools, and the application of cloud computing technology in medium voltage power outage operation equipment and tools can effectively improve the production rate of products, thus promoting the development of medium voltage power outage operation equipment and tools. Therefore, this paper first briefly explains the advantages of cloud computing technology, and briefly discusses the application of cloud computing technology in the automatic control of medium voltage non-blackout operation equipment and tools, for readers’ reference.
Construction and Application of Dual Q Programming Model for Medium Voltage Distribution Network
Authors: Li Shunxin , Zhu Zhengjia , Lv Xin 
Published: May 2021

Abstract
With the rapid development of China’s economy, people’s demand for electricity is increasing. In order to ensure the reliability of power supply, a dual Q programming model of distribution network is proposed. In this paper, the overview of “double Q theory” and key technologies are described, and the problems and optimization of medium voltage distribution network planning are discussed for readers’ reference.
Weighted Random Forest Algorithm Based on Bayesian Algorithm
Authors: Zhang Xue , Wang Mei 
Published: May 2021

Abstract
The random forest(RF) algorithm is a very efficient and excellent ensemble classification algorithm. In this paper, we improve the random forest algorithm and propose an algorithm called ‘Bayesian Weighted Random Forest’(B-RF), focus on the problem that inaccurate decision tree classification caused by the same voting weights in the traditional random forest model. The main idea underlying the proposed model is to replace the supermajority voting of random forests into weighted voting, fully consider the difference of classification ability of each decision tree, using the Bayesian formula to dynamically update the weight value for each tree, so that the strong classifier has higher voting power and effectively improves the overall performance of classification. Through the verification of UCI database, the results show that the classification accuracy of the proposed weighted random forest model is higher. This illustrate the outperformance of the proposed model in comparison with the general random forest algorithm.
Customer Satisfaction Research based on Customer Service Dialogue Corpus
Authors: Chai Jian , Wang Shengfu , Zhu Jie , Mao Xian-Ling , Huang Heyan 
Published: May 2021

Abstract
Recently, consumers are increasingly inclined to contact customer service for help when they encounter problems and have high demands for remote support. A high-quality customer service connects the company with its customers and establishes a positive image. Applying customer satisfaction metrics to measure the quality and efficiency of customer service is widely used, yet most of the existing customer service evaluation systems rely on manual processes, which are clearly unsustainable and costly. We introduce an ERNIE-based customer satisfaction analysis model that automatically analyses the text of customer service dialogues and scores them from four perspectives (i.e., product, service, process and overall) without human involvement. Furthermore, we construct a corpus containing around 1500 entries of dialogues texts transcribed from customer service consultation and scale it up to 9 times in the training phase. Results show that our model performs better compared to the baseline model and demonstrates a good generalization ability as well.
Incorporating Domain Knowledge into Text Classification Diagnosis in Customer Service Dialogue Field
Authors: Zhao Jiangjiang , Zhu Jie , Zhang Xiaokun , Mao Xian-Ling , Huang Heyan 
Published: May 2021

Abstract
The customer service dialogue process is an important way for consumers to communicate with manufacturers. In order to enhance the consumer experience as well as to assist the staff, we build a knowledge base that can categorize consumer questions and provide suitable answers. However, due to labeling deviations, there are some errors in the knowledge base. So we propose a domain knowledge-based text classification diagnosis method, which innovatively transforms the question and answer task into the text classification task. We use an ERNIE-based structure to match consumer questions with multivariate groups of answers from the knowledge base, judged by similarity. Also for incorrectly matched pairs, our method provides a list of suitable candidates for selection. Compared with other baselines, our model achieves competitive results. At the same time, good results are obtained on cross-province data, proving that our method has good scalability.
Muscle Fatigue Classification and The Effect of Electrical Stimulation on Muscle Fatigue Recovery
Authors: Wang Xingyuan , Wang Xin’an , Qiu Changpei , Li Qiuping 
Published: May 2021

AbstractThe purpose of this work is to assess and grade muscle fatigue, and then reveal the different recovery effects of the three methods of natural recovery, electrical stimulation of acupoints, and electrical stimulation of non-acupoints based on the classification and changes in characteristics. Muscle fatigue mainly refers to the weakness of muscles and the weakening of working ability after long-term or high-intensity use. It is a problem that people often encounter in daily life. In this study, 20 subjects participated in the study. By collecting surface EMG signals, and then extracting time-domain features and frequency-domain features, three algorithms of KNN, LR, and SVM were used to classify muscle fatigue into three categories: good, transitional fatigue, fatigue. The average accuracy of KNN algorithm reached 83.2%, the average accuracy of LR reached 84.7%, and the average accuracy of SVM reached 88.6%. Afterwards, the SVM classifier was used to evaluate the subsequent three recovery effects. The experiment found that electrical stimulation of acupuncture points has a better recovery effect than natural recovery and electrical stimulation of non-acupuncture points, and has a more active recovery promotion effect.
Classification of Stroke Disease Assessment based on Body Surface Electrical Signals at Acupuncture Points
Authors: Wang Hu , Wang Xin’an , Zhang Xing , Qiu Changpei , Li Qiuping , Zhao Tianxia 
Published: May 2021

Abstract
Stroke is a common brain disease with high sudden onset, high lethality, and a single means of rehabilitation assessment. In this paper, we designed a novel stroke condition rehabilitation classification experiment using a 4-channel body surface electrical signal acquisition circuit independently developed by the Integrated Microsystems Laboratory of Peking University to acquire body surface electrical signals from acupoints on both sides of the body meridians of 8 healthy volunteers and 16 stroke patients with different degrees of rehabilitation. The signals were filtered and wavelet transformed to extract features, which were fed into LR, RR, XGBoost, and SVM models for condition assessment and classification (types: healthy, mild hemiplegia, and severe hemiplegia). The results showed that the experimental scheme had strong classification ability for stroke condition recognition, with F1-score of 0.75 for LR, 0.72 for RR, 0.81 for XGBoost, and 0.79 for SVM. Furthermore, the “anti-interference ability of 50Hz” feature was separately introduced for classification, and a better classification effect was obtained. Among them, the F1 score of stroke evaluation and classification based on the SVM model increased by 2.65%, which is helpful to realize the intelligent prediction of stroke disease in clinical practice Diagnostic function.
Lightweight Design of Aircraft Virtual Scene and Wireless Transmission
Authors: Zhu Zhisheng 
Published: May 2021

Abstract
The concept of virtual reality, which is an important role in aircraft simulation training, was first proposed in the aerospace field in the 1960s. In recent years, with the development of hardware technology, virtual reality technology has been widely used in games, entertainment, medical and other civilian fields. In the field of civil aircraft, virtual reality technology mainly focuses on simulated flight, cockpit pilot training, aircraft maintenance training, etc. This article proposes a customer-oriented aircraft virtual scene design and implementation method, and describes the design process from aircraft 3D model construction, lightweight processing, virtual scene rendering, and WebRTC-based wireless video streaming. The main technical difficulties solved in this paper include two parts: one is to convert the existing aircraft 3D engineering model into a polygonal model that can be used for VR rendering, and the other is to realize the problem of multi-user online interactive access to virtual scenes. Through this system, users can do engineering evaluation and experience evaluation during the whole process of aircraft product design, development and sales. The application scenarios designed in this paper further expand the application of virtual reality technology in the field of civil aircraft development and lay the foundation for the development of more application scenarios in the future.
Multi-turn Dialogue Generation Using Self-attention and Nonnegative Matrix Factorization
Authors: Hu Chen , Wan Neng , Cai Songtao , Zeng Guangping 
Published: May 2021

AbstractRecently, neural generative models have shown significant potential in the field of human-computer interaction, especially the dialogue systems. In this paper, we propose a new model for multi-turn dialogue generation, which uses the self-attention mechanism to extract relevant information in the dialogue history, and utilizes the nonnegative matrix factorization(NMF) to learn topic vectors from an external corpus. The response generated by the model is not only affected by the dialogue context, but also by the corresponding topic vectors. We conduct experiments on a public dataset to evaluate the performance of our model. Experimental results demonstrate that our model has the ability to generate more diverse and context-sensitive responses.
Fusion of Virtual Reality Technology and Multi-sensor Mobile Robot
Authors: Wang Jingjing 
Published: May 2021

Abstract
In recent years, with the rapid development of virtual reality technology, VR, AR and MR can be widely used in the creation of learning scenarios for various majors to realize simulation training, and then solve the requirements of situational and natural interaction of learning media. VR technology is very intuitive and realistic in the research of multi-sensor mobile robot navigation, which can provide an ideal research platform for the research of autonomous navigation technology of mobile robot. Research on a new algorithm combining virtual reality and sensors to improve the performance of the entire system.
A Smart Cache Lockdown Technique for IoT System
Authors: Cho Doosan 
Published: May 2021

Abstract
Applications used in IoT network devices are multimedia or control signal processing devices that process data streams. These devices are primarily designed as battery powered things. As battery operation time has become an important parameter, specialized optimization techniques are studied and applied to increase the battery operation time for IoT devices. In IoT device components, the memory is a representative one to consume large portion of energy. Thus, memory optimization techniques are being studied in IoT devices. In this study, a technique is proposed to optimize use of cache memory. With aggressive use of cache memory, it leads to reduce power consumption of the memory system. The cache memory consumes less power and is faster than the main memory, so its aggressive use helps IoT system’s power efficiency and performance. This study provides a technique to improve energy and performance by extracting frequently used data blocks and locking the data into cache to prevent eviction and increase cache’s hit ratio.
On General Conditions for Uniqueness and Stability of Sparse Tensor Signal Reconstruction
Authors: Tian Yuan , Huang Xin 
Published: May 2021

Abstract
This paper deals with a fundamental aspect of the inverse problem of robustly reconstructing sparse tensor signals via convex optimization. The traditional vector signal model is extended to tensor model and tensor-space based convex optimization methods are applied to establish the critical results. In particular, by means of some innovative sub-differential analysis for tensor norms and convex geometric analysis in normed tensor space, sufficient conditions to guarantee uniqueness and stability of sparse tensor signal reconstruction are established. In comparison with most current works based on vector signal model (1-order tensor), these conditions are more general and more applicable to tensor signals. Also will these conditions be helpful for establishing practical algorithms for reconstructing high-order sparse tensor signals which are emerging in various data-intensive intelligent applications.
Design of Flow Analysis System Based on Industrial Control Network in Tobacco Industry
Authors: Zhang Chengting , Qian Jie , Zhang Xun , Xu Qi 
Published: May 2021

Abstract
This paper has introduced a system dealing with network flow in tobacco industrial control system. By effective data acquisition, data processing, information analyzing and data storing, the system provides precise information for network security analysis. In this article, each key link of the processing chain such as acquisition, processing, analyzing, and storing has been specified. Besides, the feasibility and practicability of this system has been proved. The system would help ensure the safety and stable operation of tobacco industrial control system.