bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic Optimization of Electricity Generation and Sales in Microgrid System Based on PSO
Authors: Song Jianfang , Xu Aidong , Hou Wenjing , Zhang Yunan , Jiang Yixin , Wang Qianru , Mao Zhongqi , Wen Hong 
Published: October 2020

Abstract
In this paper, particle swarm optimization (PSO) is introduced to carry out economic optimization under the microgrid system, and the optimization dispatching problem of the microgrid system [1] is studied. Utilize the role of battery charging and discharging and power exchange of large power grids, with the goal of minimizing the cost of load power supply, and establishing the constraints of distributed power sources [2]. A mathematical model is established for the optimal scheduling problem under the microgrid system composed of wind, solar and storage batteries, and the PSO algorithm is used to solve the model, and the optimized power supply composition and operating cost are obtained, and an optimized scheduling scheme is given.
Sodar Wind Profiler Design Based on Embedded System
Authors: Tian Fenghao , Lou Xi , Yao Zhendong 
Published: October 2020

Abstract
Sodar is a kind of remote sensing measurement device that detects targets by launching sound waves. In the application of atmospheric observation, it is mainly used for wind profile measurement at the bottom of the atmospheric boundary layer. Sodar is mainly composed of the main controller, power amplifier, backward wave amplifier and acoustic antenna. This paper designs a simple sodar with the main controller STM32F767ZI, and the use of RT-Thread embedded system realize the operational control and signal processing of sodar system. The main functions include the drive of transmission, echo acquisition and data transmission. At present, the software system has been developed, all modules work normally, it will be put into testing as soon.
Colombian Companies of Insurtech and their Risk Management
Authors: Mogollón A. , Rubiano A. , Ramirez J. 
Published: October 2020

Abstract
In Colombia, a new trend of technology businesses has emerged, generating significant challenges to the traditional sales schemes of insurers called Insurtech, becoming an exciting aspect to investigate. This new model is increasing, so in the present paper, it presents a characterization of the companies, focusing on the management of risk management The methodology proposed to develop the present work consists of i.) analysis of the official information and, ii.) it applied different surveys to companies, evaluating quantitative and qualitative aspects.
Sociocultural Theory and Its Implications in College English Teaching and Learning in the Age of Artificial Intelligence
Authors: Zhou Weiwei 
Published: October 2020

Abstract
Artificial Intelligence (AI) technology, emerging as one of the three cutting-edge technologies in the 21st century, has greatly changed previous situations of different fields all over the world including education. The advancements in AI have brought college English into a brand new stage as AI serves as an important enabler in the reformation and development of college English teaching and learning. In this paper, the author firstly introduces the basic concepts of AI and Sociocultural Theory, which cast indispensible effects on foreign language acquisition. Then how AI influences educational resources, teachers and students of college English and collaborative activities are discussed. In spite of the benefits AI has brought, challenges and potential drawbacks are also presented. Therefore, it should be noticed that AI technology is properly applied in the field of college English teaching and learning.
Optimization of Dimension-Han Machine Translation Model Based on Neural Network
Authors: Liu Jiatong , Wang Zhonghao , Cui Yanchang , Fan Minghong , Wang Beizhan 
Published: October 2020

Abstract
Machine translation is a natural language (source language) converted into another natural language by computer processing. As the main branch of artificial intelligence, machine translation based on neural network has significantly exceeded the traditional statistical machine translation in small language translation. Resource-poor language has become a hot topic, such as Uygur translation, as a typical resource-poor language, although there are some achievements in Uygur information processing, its basic available tools are very limited. This paper first expounds the background of the topic, briefly introduces the background knowledge of machine translation and the language knowledge of related languages. This paper describes the machine translation method based on neural network, and analyzes the existing neural machine translation methods on Uygur-Chinese translation tasks. The analysis of Uygur, Turkish, Arabic and Japanese finally determines the transfer translation of Uygur in Japanese. The parallel corpus of Uygur-Chinese and Japanese-Chinese are used to experiment.
The Impact of Information on System Operations
Authors: Guan Tianchao , Zhou Shumin , Li Tongfei , Xu Duo 
Published: October 2020

Abstract
The operating system is a complex system that includes supply and demand. Changes in external information have an impact on the operation of the system, especially on both supply and demand. This paper analyzes the supply and demand and establishes the nonlinear programming problem of system operation under the social optimal goal. With the increase of external information intervention, there will be more suitable travel fares for the demand side. However, the supply side’s related operating indicators (for example, frequency, bus fleet, and vehicle capacity, etc.) have shown a trend of first increasing and then decreasing due to existing resource constraints. It can be seen that under the same information interference, there are differences in the law of change between the supply and demand sides. Besides, an example is used to verify the effectiveness of the model. Through the model and calculation examples, we can know that the supplier and the demander can meet their own needs under the social optimal goal. This provides certain theoretical support for future research information on system operation.
Research on Image Recognition of Machine Tool Based on Semantic Segmentation
Authors: Xu Ke , Fei Zekai , Sun Yuan , Ming Hao 
Published: October 2020

Abstract
In the task of image classification of machine tool machining, the coolant water column will block the tool and interfere with the image classification. To solve this problem, firstly, the coolant water column is removed from the image by semantic segmentation. Because the number of samples in the data set is insufficient, the effect of semantic segmentation model is not very good. These results are taken as the input number of image classification model According to, it will directly affect the accuracy of classification, but it is impossible to modify the parameters of semantic segmentation model during classification training. In this case, the image after semantic segmentation processing is combined with the original image according to certain rules, combined with the information of some original images, and then classified. This method can effectively reduce the interference to the classification model when the semantic segmentation model is wrong.
Pseudo RHI Software Developing for Dual-polarization Weather Radar CAPPI Observation Variables
Authors: Yao Liren , Yao Zhendong 
Published: October 2020

Abstract
RHI (range height indicator) is one type of operation and display for radar detection. Pseudo RHI is applying other observation data without RHI operation to generate RHI looks like echoes. Data processing method with interpolation and filter, computer display technology with coordinate transformation and pseudo color, and software development with Python for pseudo RHI are described in this paper. It is shown that this processing is useful for easily analysis and application of weather radar VCP (volume coverage pattern) observation data in vertical distributions of targets echoes for weather nowcast and severe weather warning.
SDAE-LFM: A Latent Factor Model for Recommendation Based on Stack Denoising AutoEncoder
Authors: Luo Jianyan , Xing Xing , Zheng Hang , Xin Mindong , Jia Zhichun 
Published: October 2020

Abstract
Recommendation methods usually associated with data sparsity. The traditional recommendation methods take the users’ rating information as the recommendation basis, which ignore the latent features that can be taking into consideration to model for better recommendations. In order to deal with these problems, we proposed a latent factor model recommendation algorithm based on stack denoising autoencoder (SDAE-LFM), applying Deep Learning technology for latent feature representation learning. A stack denoising autoencoder is applied to extracting feature about item from the label information. Then we factorize the item feature information to perform matrix decomposition training. Finally, we predict the result by the user-item preference matrix. Experimental results on these datasets demonstrate that the proposed recommendation method has better performance.
Research on Identification Method and Device with Active Immune Attack
Authors: Wang Qiangang , Liu Hui , Wu Wenju , Chen Yuansheng , Xiao Shengyuan , Zhan Jiewen , Chen Rui , Xie Yinghong , Zhang Kai , Zu Lianxing , Zhu Xiaofan , Shi Lei , Zhang Zheng , Fang Dongkai , Yin Heng 
Published: October 2020

Abstract
The large-scale establishment of charging devices facilitates the use of electric vehicles and promotes the development of the new energy industry. However, the core chips of most domestic charging devices use imported chips. There may be little-known backdoors in the chips, which may hide large loopholes. Once a cyber war occurs, the consequences are unimaginable. At the same time, with the intelligence and informationization of the power grid, various network attack methods are emerging, and the charging device is located in the public environment, which is vulnerable to various attacks. These attacks may sneak into the internal management system of the charging device and steal other user information, or modify your account balance for unlimited charging through virus intrusion, or even invade the power grid, causing grid failure. Aiming at the above problems, this paper adds the network attack detection module based on stack automatic encoder to the charging device to detect the data flow in the charging device in real time, mine and identify the hidden attacks in the data stream, so as to avoid the attacker further intruding the upper system through the security vulnerability of the charging device, and to improve the information security and operation reliability of the charging device, to a certain extent, it also ensures the safety of the power grid.
Design of Data Transmission System Based on Smart City Integrated Data Center Construction
Authors: Gong Changping , Wang Wei , Cao Jian , Peng Guangrui , Gao Jianglong 
Published: October 2020

Abstract
The construction of integrated data center provides data support services for energy smart city, which is inseparable from the aggregation of various data, such as electricity consumption information and power related data all over the city. Therefore, a stable and efficient data transmission system is needed to complete the data transmission work. But in reality, there are some problems such as the complexity of the public network environment, the diversity of data sources, and the security of source data. In order to solve the above problems, the data transmission system needs to have the following core functions: message forwarding, routing exploration, concurrent transmission, encrypted transmission, breakpoint continuation, error retransmission, etc. Based on socket communication, the system constructs a routing path from the source to the data center by exploring the routing nodes. By encapsulating the messages, the messages exchange and forward the information between the paths. For the source data with high security requirements, it encrypts the transmission. At the same time, it designs the transmission failure protection mechanism, which leads to connection problems in the transmission process, Connection recovery can continue transmission; at the same time, it can continue transmission for some unfinished tasks; it can automatically resend the failed data.
The Quantitative Evaluation Index System of College Student Party Members based on AHP
Authors: Lu Shuisheng , Sun Xiaoying 
Published: October 2020

Abstract
As an important part of colleges and universities, student party members are the foundation of the development of colleges and universities and the progress of society. Although the development of college student party members has made some progress in recent years, there are still some problems. Based on this situation, this paper studies the quantitative evaluation index system of college student party members based on AHP, and analyzes the quantitative evaluation index of student party members and the weight of each level of index. Among the factors of constraint level B, the largest learning evaluation weight (5.3991) has become an important factor affecting the quantitative evaluation of college student party members. Sub Constraint Level C contains 17 secondary indexes Among them, the weight of daily performance evaluation (0.1906) is the largest, which has become the primary factor affecting the quantitative evaluation of college student party members.
RETRACTED: Huaer’s International Communication Strategy based on the Big Data under the Network Multimedia Propaganda
Authors: Wang Bing , Zhang Shikun 
Published: October 2020

Abstract
The international spread of minority folk songs is conducive to promoting the exchange of minority culture and world culture. However, at present, the path of international spread of ethnic minority folk songs in my country is relatively narrow, and the communication channels are relatively limited. Through the analysis of big data, This article proposes certain strategies for the survival innovation and development of Hua’er in today’s society, from the aspects of advancing with the time of the communication content, the return of the communication subject (the communicator and the audience), the diversification of the communication channels, and the development of the cultural industry. I hope it can promote the international communication of Hua’er.
Application of Machine Learning in Computer Vision and Cancer Bioinformatics
Authors: Xie Bingxin , Zhang Shiyu 
Published: October 2020

Abstract
This article focuses on some of the problems of machine learning in computer vision and cancer bioinformatics.Separately, in computer vision, this paper adopts the method based on machine learning to study the face recognition, natural environment image classification, Static Image Behavior Recognition Algorithm;In the bioinformatics, questions relating to the classification of subtypes and stages of breast cancer are explored.
Application Value Analysis of BIM Technology in Assembly Building
Authors: Ouyang Binsheng 
Published: October 2020

Abstract
With the help of BIM Technology, the design, production and construction level of Assembly Building (hereinafter referred to as AB) can be effectively improved, and the production chain from design to operation and maintenance of AB can be more compact and reasonable, which can play a quite active role in the process of realizing energy conservation and emission reduction, reducing pollution and promoting the development and transformation of the construction industry in China. However, in order to achieve a closer combination of BIM Technology and prefabricated building, it is necessary to further run in and improve in practice, which still needs the joint efforts of the practitioners in the construction industry.
Internet Japanese Teaching Based on Computer Aided Technology and Cultivation of Practical Senior Japanese Talents
Authors: Liu Chang , Ge Xiaoyu 
Published: October 2020

Abstract
As one of the most important Chinese foreign languages, Japanese teaching has been carried out for many years, and a large number of basic Japanese talents have been cultivated for various industries. The effectiveness of Japanese teaching and the deepening and expansion of the language application abilities of Japanese talents are not only of great significance to the long-term development of Japanese teaching and the training results of Japanese advanced application talents, but also have an important practical impact on the development of foreign exchange and cooperation. This article starts with the relationship between online Japanese teaching and the training of advanced Japanese practical talents, and analyzes the influence of computer-aided technology network teaching on the training of advanced Japanese practical talents and the ways to realize the training of Japanese basic practical talents.
RETRACTED: Research on the Realization Path of Moral Education in Higher Vocational Colleges Based on Computer Big Data
Authors: Xie Changwei , Shen Xia , Cai Huanhuan , Yuan Zhangjie 
Published: October 2020

Abstract
The brilliance of computer technology has promoted the update and progress of big data period. With the wide application of big data based on computer technique, moral education of moral education in some higher vocational colleges is gradually rising. Its appearance not only adapts to the development of productivity in our country at the present stage, but also verifies the trend of gradual improvement of China’s education level in the new time[1]. In the new time, the fundamental task of Higher Vocational Colleges in China is to cultivate high-quality innovative technical talents. On this basis, schools should also pay attention to the cultivation of young people’s moral character. In fact, it is an necessary goal for colleges and universities to cultivate talents. It has also been recognized by many experts.
Research on the Solutions to the Problems Existing in the Russian Professional Teaching of Independent Colleges Based on Computer Aided Technology under the Background of “One Belt One Road”
Authors: Li Chenchen , Guo Laimei , Li Lanlan 
Published: October 2020

Abstract
With the continuous expansion of the "Belt and Road" economic and trade cooperation system, the demand for compound and innovative Russian talents is also increasing. As an important place for the training of Russian talents, colleges and universities need to keep up with the pace of development of the times, comprehensively and scientifically understand the development opportunities brought by the “Belt and Road” initiative to Russian students in colleges and universities, and constantly enhance students’ professional ability to meet the needs of the market for professional Russian talents. Therefore, Russian teaching in colleges and universities must accurately grasp the ideological connotation of the "Belt and Road" initiative, comprehensively examine the existing problems in Russian teaching, and constantly reform and innovate the strategies of Russian teaching in colleges and universities and strengthen the mode of talent training according to the talent demand standard proposed by the "Belt and Road" initiative. At the same time, the continuous development of computer science and technology provides us with a variety of convenient methods for analyzing problems. Based on this background, this article studies the solutions to problems in the professional teaching of Russian independent colleges based on computer-aided technology.
RETRACTED: Application of Computer Multimedia Technology in the Reform and Innovation of Physical Education Teaching in Colleges and Universities
Authors: Zhu Chunquan 
Published: October 2020

Abstract
The application of computer multimedia technology has a very important support and significance for the implementation of the reform of physical education in Colleges and universities. In the related teaching activities, we should make clear the advantages of computer multimedia teaching in the reform and innovation of physical education in Colleges and universities, scientifically build a set of effective work application ideas, and give full play to its advantages, showing more educational value.
Investigation and Research on Food Safety Knowledge, Attitude and Behavior of University Students in Kunming Based on Big Data Analysis
Authors: Zhang Chunsheng , Liu Rui , Zhang Linyu , Dong Liangfei 
Published: October 2020

Abstract
This article uses questionnaire surveys, combined with computer big data analysis, to study the food safety knowledge, attitudes and behaviors of college students in Kunming. The results show that the awareness rate of safety knowledge of the respondents is low, and their attitude and behavior need to be improved. It is necessary for colleges and universities to carry out food safety publicity and education in various ways, to help college students establish a positive and correct attitude towards food safety, and to guide college students to develop good food safety behavior habits.
Research on the Influence of BIM Technology on Engineering Project Management and Its Development Countermeasures in the New Period
Authors: Peng Chunyan , Liu Sai , Yi Hongwei 
Published: October 2020

Abstract
Large-scale construction projects have occupied a large proportion in China’s construction industry. Realizing the life cycle management of construction projects is the goal pursued by project management. The implementation of life-cycle management can more effectively control the various stages of project planning, implementation and operation to achieve the purpose of adding value to the project construction. However, as the scale of the building and the complexity of the building continue to increase, the construction period increases, the number of project participants is large, and the project management of many large projects is difficult to implement. The emergence of BIM technology brings new opportunities for the life cycle management of construction projects. This paper briefly introduces the characteristics of BIM technology and the impact of BIM technology on project management, and it mainly analyzes the application of BIM technology in project management, in order to improve the design level of the project and improve the construction efficiency and management level of the project.
RETRACTED: Research on the Cultivation of Cross-cultural Awareness in English Translation Teaching Based on Computer Multimedia Technology
Authors: Meng Cong 
Published: October 2020

Abstract
With the continuous development of the times, the importance of education is gradually highlighted. English is the second language most Chinese students learn. In the process of learning, students can not only grasp some basic theoretical knowledge, but also constantly cultivate students’ cross-cultural awareness. Through the cultivation of cross-cultural awareness, students can better understand the content of foreign culture and language. At present, many colleges and universities have carried out college English translation teaching based on computer multimedia technology. By comparing and interpreting the cultures of the two countries, the students deepen their impression of foreign cultures and constantly improve their English level, which promotes their better development.
Application of Computer Network Technology in the Research of College English Teaching Strategy
Authors: Liu Daiqi 
Published: October 2020

Abstract
The emergence of “Internet +” has brought great challenges and opportunities to traditional college English teaching. "Internet +" education mode has become an indispensable part of the current education mode. It not only meets the needs of students attending lectures at any time and anywhere, but also is a major attempt in the reform of education mode in China. Based on the analysis of the current situation of College English teaching mode, this paper proposes an optimization policy based on "Internet +".