bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selection of Cost Allocation Methods for Power Grid Enterprises Based on Entropy Weight Method
Authors: Sheng Jinma , Chen Tianyou , Jin Wen , Zhou Yue 
Published: April 2021

Abstract
With the liberalization of the electricity trading market, market participants pay more attention to the fair and reasonable distribution of relevant costs. However, the traditional transmission and distribution cost allocation methods based on fixed costs have serious cross-subsidies. In this context, a variety of methods for amortizing transmission and distribution costs from different angles have emerged, but these methods generally have some shortcomings, such as excessive calculations. To select the optimal cost allocation method objectively and rationally, this paper uses the entropy weight method to evaluate different cost allocation methods based on four indicators: comprehensibility, application difficulty, load change reflection ability, and transmission stability. Studies have shown that the hybrid transmission and distribution cost allocation method combining the stamp method and the peak liability method is more reasonable and effective.
Problems about Calculation in Calculating Table in the Tsinghua Bamboo Slips
Authors: Li Chong 
Published: April 2021

Abstract
At the end of 2013, Zhongxi Book Company published Bamboo Slips of the Warring States Period Reserved by Tsinghua University (4) [1]. In it, the content of Calculating Table is about mathematical calculations, including not only multiplication, but also division and square root. From the perspective of time, Calculating Table is not only earlier than the calculating table in Liye Bamboo Slips of Qin and others that have been discovered in China, but also earlier than the calculating tables of other countries. From the perspective of content, it integrates multiplication, division and square root, which is richer than any other calculating tables. Therefore, Calculating Table in The Tsinghua Bamboo Slips is an important discovery on calculation formulas, and it has a milestone significance in the history of mathematics.
Distributed Accounting and Blockchain Technology in Financial Accounting
Authors: Mai Xiaoyu 
Published: April 2021

AbstractBlockchain management involves all aspects of blockchain, and its ultimate goal is to improve the efficiency of blockchain operations. This research mainly discusses the application of distributed bookkeeping and blockchain technology in financial accounting. Distributed systems require all nodes within the enterprise to upload inventory data to the system regularly. These data can be uploaded only after most nodes in the system confirm that they are correct. Invalid information is filtered to ensure that the data is true, accurate and reliable. By constructing a blockchain-based supply chain system, the integration and reconstruction capabilities of the supply chain can be improved. The information recording of internal data and external related multi-source data in the block can improve the learning ability of the supply chain. With the passage of time, the cost of holding has gradually decreased from 200,000 yuan before the simulation to 80,000 after the simulation. This research helps to encourage companies to form inventory holding quantities that adapt to their own conditions and reduce inventory holding costs.
Application of Virtual Reality Technology in Chinese Ancient Art Works
Authors: Wang Jing , Wang Xiaopeng 
Published: April 2021

Abstract
Virtual reality technology is produced under the background of the continuous development of computer and artificial intelligence technology, and the application field of virtual reality technology is more and more extensive. The application of virtual reality technology to the appreciation of ancient Chinese art works can not only make the appreciation of ancient Chinese art works more convenient and intuitive, but also stimulate the national pride of Chinese people, inherit the excellent culture of the ancient Chinese nation, and make the excellent art works go to the world. On the basis of summarizing the meaning and characteristics of virtual reality technology, this paper discusses several application technologies of virtual reality technology in the appreciation field of ancient art works.
Bearing Fault Diagnosis Based on BP Neural Network and Transfer Learning
Authors: Zhang Ningbo , Li Yawei , Yang Xingbo , Zhang Junhao 
Published: April 2021

Abstract
Rolling bearing is widely used in rotating machinery, which is one of the most prone to failure of industrial parts. In order to obtain the running state of rolling bearing timely and accurately, this paper uses Fourier transform to preprocess the data; based on the transfer component analysis to narrow the difference between the labeled data and the unlabeled data distribution, it is convenient to extract the feature information; BP neural network algorithm is used to build the network model, and then the data is tested, so as to realize the detection of bearing fault state And diagnosis. The experimental results show that the transfer learning based on principal component analysis can calibrate the features of unlabeled data well, and BP neural network can identify the fault types of rolling bearing well.
The Practical Application of Artificial Intelligence Technology with the Development of Internet
Authors: Rao Fan , Hu Xi , Zhu GuoHua 
Published: April 2021

Abstract
Artificial intelligence is closely related to people’s life and production. With the rapid development of science and technology, people tend to quest for higher requirements for material life. The Internet and related information technology industries provide possibilities for artificial intelligence and have stepped toward the field of intelligence. This paper analyzes the characteristics of network engineering and discusses the application and innovation of artificial intelligence technology.
Agent-based Intelligent Dispatching Model of Port Ships
Authors: Xu Zhichao 
Published: April 2021

Abstract
As the hub of my country’s import and export trade, the port’s throughput has also grown rapidly in recent years with the rapid development of my country’s economy. Ship operations are an important part of port operations. At present, most ship operations in ports are based on planning and dispatching. However, in the actual operation process, the port is often disturbed by some unexpected situations, such as ship berthing time delay, quay crane failure, etc., resulting in the failure of the original plan to be implemented normally, resulting in passive waiting of ships and idle berths. As a result, terminal resources are left unused, affecting the efficiency of port ships, causing waste of port resources, and affecting port throughput. This paper proposes to establish an Agent-based intelligent port ship dispatch model to solve this problem. This model includes three types of agents: Quayside Crane Agent, Ship Agent and Master Control Agent. Each agent perceives the external environment in real time through the perception module, and can communicate with other agents through the communication layer to deliver real-time information and realize intelligent dispatch. This model can effectively solve the problem of low terminal utilization due to disturbance, improve the port’s operating efficiency, and then increase the port’s throughput.
Prediction Research and Application of Financial Time Series Based on Big Data
Authors: Wang Rui 
Published: April 2021

AbstractFinancial risk is conductive in the market. In this paper, correlation function is used to model the relevant structure of the financial market. The j-B test statistic value of four stocks is far greater than the critical value of 6.7325, and the critical value of LJung-Box-Pierce test is 32.1342. At the same time, it is proved that the selection of edge distribution function is independent of the dependent structure, but the risk value estimated by semi-parametric POT model is higher than that estimated by kernel density function.
Application of RFID Information Technology in Fresh Food Cold Chain Logistics Management
Authors: Zhou Hui 
Published: April 2021

Abstract
RFID information technology has gradually become a new favorite in cold chain logistics management, and cold chain logistics belongs to temperature control logistics, so the application demand of RFID system with temperature sensor is more intense. At present, the construction of cold chain logistics in China can not meet the development needs, and the food quality and safety problems caused by uncontrollable logistics links are becoming increasingly serious. Combined with the characteristics of RFID technology, and in view of the pain points of China’s food cold chain logistics management, this paper will discuss the application of RFID technology in all aspects of food cold chain logistics.
Design of Tool Information Error Prevention Based on FIDIA
Authors: Zeng Yang , Li Xin , Gong Fei 
Published: April 2021

Abstract
It often takes place in the field of CNC machining that quality accident of parts due to the tool information entry incorrect. In this paper, an error check program based on FIDIA CNC system is designed. The tool information in FIDIA CNC system is read by AUCOL program and compared with the theoretical tool length value to judge whether the tool information is correct, so as to reduce the tool information error in CNC system caused by human error.
Application of Cloud Computing Assisted Instruction in English Teaching
Authors: Zhang Xiaoli 
Published: April 2021

Abstract
College English teachers focus on the training of students’ English listening and reading ability and English writing ability. They lack the awareness of training students to form critical thinking logic and cultivate students’ innovative ability. Therefore, it has a great impact on cultivating students’ autonomous learning habits and improving students’ learning ability. Listening and speaking, reading, translation and writing are the basic skills that students must master in the process of learning English courses. In the past, most of the students passively received the English knowledge content instilled by English teachers, which seriously restricted the development of students’ thinking logic, and the students’ subjective initiative in learning could not be fully exerted. Nowadays, the teaching concept of the new curriculum reform is now With the continuous deepening and implementation, modern science and technology and new education theory will be organically integrated in the field of education, so as to make the course teaching more efficient and students get better education. From the continuous updating and adjustment of teaching mode, modern science and technology has a great influence and promotion on the field of education.
Application of Virtual Reality Technology in Higher Vocational Smart Logistics Teaching
Authors: Wang Ke 
Published: April 2021

Abstract
Analyzed the problems existing in the teaching of smart logistics, through the introduction of VR technology, focused on the application of virtual reality technology in the teaching of smart logistics. Compared with the traditional teaching mode, it summarizes the advantages of virtual reality technology in logistics management teaching. Finally, it is concluded that the application of virtual reality technology in logistics management teaching has effectively improved students’ interest in learning and improved the teaching effect of the course.
Research on Innovation Path of Enterprise Dynamic Management Mode in Big Data Era
Authors: Wang Jingjuan , Xia Weili 
Published: April 2021

Abstract
Based on the traditional management theory, combined with the evolution and development trend of management theory, this paper constructs a management conceptual model by analyzing the elements of modern management, and puts forward that management is an activity that both insiders and outsiders participate in under the background of big data era. The modern enterprise management mode has gradually evolved from the traditional mode of top-down, inside-out to the diversified management mode of outside-in, bottom-up. This paper analyzes the characteristics and differences of the management modes of enterprises in different countries from the aspects of management objects, management decisions, management methods and organizational structures. Finally, the conceptual model of enterprise dynamic management mode is constructed, and the innovation path of dynamic management mode is discussed from three aspects: perception, action and transformation, and the characteristics, structure and basic functions of dynamic management conceptual model are summarized.
Analysis and Comparison of Forecasting Algorithms for Telecom Customer Churn
Authors: Jiao Gui’e , Xu Hong 
Published: April 2021

Abstract
The integrated algorithm is a highly flexible data analysis and prediction algorithm. In many big data competitions at home and abroad, the winning teams basically adopt the idea of integrated algorithms such as random forest, GBDT, XGBoost and other algorithms. This shows that accuracy of ensemble algorithms is still very advantageous in terms of predictive classification. The main task of this article is to predict the loss of telecom customers. Under the current situation of saturation of the telecom market, how to retain the original customers is the main task of each telecom operator. This article mainly compares the four prediction models on the telecom data set. Predictive performance, the final performance evaluation index also shows that the random forest model and XGBoost model of integrated thought have better predictive models.
Optimization of K-means Algorithm Base on MapReduce
Authors: Huang Xueyu , Cheng Shichao 
Published: April 2021

Abstract
In the context of big data, the K-means clustering algorithm is sensitive to the initial clustering center, the detection and removal of outliers are difficult, and the data is tilted. The KMEANS-BRMS (K-means algorithm based on range mean and sampling) algorithm based on range mean and sampling is proposed. First, for the initial data set, the “range mean value method”(Mean Range method, MRM) is proposed to obtain the initial cluster centers. In order to eliminate the influence of outliers, a range threshold is set above and below the range mean, and all points under this threshold constitute an initial center. The set of points to be selected, in which the maximum and minimum distance criteria are adopted to select the initial clustering center, which effectively avoids the problem of the sensitivity of the initial center point and the influence of outliers caused by the random selection of the initial clustering center. Next, the BSA(Based on pond sampling and first adaptation algorithm) strategy of adapting algorithm for the first time to deal with the data skew problem in the MapReduce stage, and improve the clustering efficiency. Finally, combined with the MapReduce framework model, the data cluster center is mining in parallel to generate the final clustering result. Experiments show that the clustering results of the KMEANS-BRMS algorithm are more stable and effective, and at the same time it can more effectively improve the efficiency of parallel computing in the big data environment.
German Translation Teaching Reform Based on Computer Aided Translation Software
Authors: Wang Fan 
Published: April 2021

Abstract
With the rapid development of the times, the role of computer in all aspects of society is becoming more and more obvious, and the translation industry has also been greatly affected. Now the traditional translation no longer meets the requirements of the society, the emergence of computer-supported translation software. Relying on the powerful computing and translation storage functions of computers, translation can be managed more effectively. As a new research field, computer-aided foreign language research has been widely concerned by scholars from all walks of life. Among them, due to its application value, computer-aided translation research has been paid more attention by scholars. Computer assisted translation is computer-assisted translation. The basic operation principle is to search the existing translation language reference room, compare the original text with the translation language group, and select the language materials most similar to the original text. In this paper, through the analysis and understanding of computer-aided translation and its software requirements, as well as the investigation of the current application status and future development forecast, and the understanding of the application defects of computer-aided translation, we can know the operability of computer-aided translation software in practical translation work.
Object Detection Algorithm Based on YOLOv3 Model to Detect Occluded Targets
Authors: Zhang Dawei 
Published: April 2021

Abstract
Target detection has experienced a rapid development stage from the concept to the practical application, the core technology has been broken through, many difficult problems have been solved, and it has been widely used in various fields. However, the existing target detection models still have some technical problems such as incomplete detection and low accuracy. Therefore, this paper proposes a target detection algorithm based on V3 model to detect occluded targets. This paper makes an in-depth investigation and Research on the existing target detection model, analyzes the shortcomings of the current traditional target detection model through the test results, and the advantages of the network detection model based on YOLOv3 in target detection. Aiming at the main problems existing in the current detection technology, this paper puts forward the optimization and improvement scheme. By reconstructing the whole framework of multi-target tracking algorithm, optimizing the feature fusion algorithm, and improving the NMS algorithm, the scheme greatly improves the accuracy of detecting the occluded objects. The simulation results show that the improved scheme can improve the accuracy by 12.3% compared with the traditional scheme. The analysis shows that the target detection model based on YOLOv3 network can effectively improve the detection accuracy of the model.
Research on the Construction and Evaluation of Green Industry System Based on Data Mining
Authors: Long Zhu 
Published: April 2021

Abstract
By establishing a regional green innovation system, realizing the integrated development of industries across administrative divisions, and developing emerging industries, continuation industries, and resource reuse industries are effective ways to realize the transformation of economic development mode. In the process of shifting from the industrial economy of the industrial society to the industrial economy of the information society, green industry informatization is an inevitable requirement for realizing industrial restructuring and industrial upgrading, improving the core competitiveness of green enterprises, and a necessary condition for realizing regional national economic informatization. Data mining technology can discover and extract hidden, novel, meaningful and understandable information and patterns from a large amount of data, and realize the transformation from simple data to information to knowledge. According to the general requirements of data mining technology and the characteristics of the green industry field, this research constructed a system framework for green industry data mining, discussed key issues such as data preparation and data selection in data mining of green industry. Meanwhile, using data mining software SAS and Malmquist index as implementation tools, the basic theories and methods of green industry data mining were applied to the innovation evaluation of my country’s green industry. The results showed that data mining technology had its unique advantages in dealing with the massive data of the green industry. It can not only quickly realize the diversified statistical analysis of the massive data in the green industry, but also display it to users with rich graphics, which is conducive to the interpretation and understanding of the analysis results.
Numerical Study on the Influence of Exhaust Structure on the Performance of a High Expansion Ratio Turbine
Authors: Guo Zhaoyuan , Bai Chao , Han Yongjun , Zheng Qun 
Published: April 2021

Abstract
A numerical simulation study on the influence of downstream pipe on turbine performance and flow is carried out for a high expansion ratio steam turbine. The abrupt change of the flow channel leads to severe reverse flow and increased back pressure, thus reduce the steam turbine power. The loss in the cylindrical cavity is up to 82% of the total loss downstream the steam turbine. By using a branch pipe to exhaust the steam of the passages downstream the intake area, the blast loss and mixing loss are significantly reduced for the non-intake passage, resulting a total reduction of 30.3%, and the power is increased by 5.3%. It provides a reference for the subsequent optimization design of flow channel.
CMS RPC background — studies and measurements
Authors: Hadjiiska R. , Samalan A. , Tytgat M. , Zaganidis N. , Alves G.A. , Marujo F. , Torres Da Silva De Araujo F. , Da Costa E.M. , De Jesus Damiao D. , Nogima H. , Santoro A. , Fonseca De Souza S. , Aleksandrov A. , Iaydjiev P. , Rodozov M. , Shopova M. , Sultanov G. , Bonchev M. , Dimitrov A. , Litov L. , Pavlov B. , Petkov P. , Petrov A. , Qian S.J. , Bernal C. , Cabrera A. , Fraga J. , Sarkar A. , Elsayed S. , Assran Y. , El Sawy M. , Mahmoud M.A. , Mohammed Y. , Combaret C. , Gouzevitch M. , Grenier G. , Laktineh I. , Mirabito L. , Shchablo K. , Bagaturia I. , Lomidze D. , Lomidze I. , Bhatnagar V. , Gupta R. , Kumari P. , Singh J. , Amoozegar V. , Boghrati B. , Ebraimi M. , Ghasemi R. , Mohammadi Najafabadi M. , Zareian E. , Abbrescia M. , Aly R. , Elmetenawee W. , De Filippis N. , Gelmi A. , Iaselli G. , Leszki S. , Loddo F. , Margjeka I. , Pugliese G. , Ramos D. , Caponero M. , Benussi L. , Bianco S. , Colafranceschi S. , Russo A. , Passamonti L. , Piccolo D. , Pierluigi D. , Saviano G. , Buontempo S. , Di Crescenzo A. , Fienga F. , De Lellis G. , Lista L. , Meola S. , Paolucci P. , Braghieri A. , Salvini P. , Montagna P. , Riccardi C. , Vitulo P. , Francois B. , Kim T.J. , Park J. , Choi S.Y. , Hong B. , Lee K.S. , Goh J. , Lee H. , Eysermans J. , Uribe Estrada C. , Pedraza I. , Castilla-Valdez H. , Sanchez-Hernandez A. , Mondragon Herrera C.A. , Perez Navarro D.A. , Ayala Sanchez G.A. , Carrillo S. , Vazquez E. , Radi A. , Ahmad A. , Asghar I. , Hoorani H. , Muhammad S. , Shah M.A. , Crotty I. 
Published: April 2021

Abstract
The expected radiation background in the CMS RPC system has been studied using the MC prediction with the CMS FLUKA simulation of the detector and the cavern. The MC geometry used in the analysis describes very accurately the present RPC system but still does not include the complete description of the RPC upgrade region with pseudorapidity 1.9 < |η| < 2.4. Present results will be updated with the final geometry description, once it is available. The radiation background has been studied in terms of expected particle rates, absorbed dose and fluence. Two High Luminosity LHC (HL-LHC) scenarios have been investigated — after collecting 3000 and 4000 fb-1. Estimations with safety factor of 3 have been considered, as well.