bluuebunny/crossref_metadata_2025_split huggingface dataset:
A further analysis of blocking action of the circuit breaker in the relay protection
Authors: Li Guanlin , Xie Jili , Liu Jinhao , Yu Qiying , Lun Yiyang , Lin Guangda 
Published: November 2019

Abstract
With the development of the ages and social progress, our country has enormously developed in the field of smart power system. In most of the power systems, the hydraulic actuator, the operating mechanism and the spring energy storage operating mechanism are all the core issues in the current relay protection circuit breaker opening and closing. The effect of its operation will have a direct impact on the power system and circuit breaker performance. In this paper, by classifying the circuit breaker operating and analyzing the relationship between the blocking action and the relay protection, we can further analyze the blocking action of the circuit breaker in the relay protection, so that we can choose the better action position, and analyze and make researches by following the circuit wiring and dual configuration.
Computer Experimental Course Teaching Reform Design Based on Cloud Computing
Authors: Lei Shi 
Published: November 2019

Abstract
This paper begins with an analysis of the advantages of cloud computing technology in the teaching of experimental courses in colleges and universities. In order to make full use of the role of cloud computing technology in computer-assisted teaching, this paper combines the cloud computing technology with the teaching reform of computer basic courses in colleges and universities. The Design and Implementation of Computer Experiment Course Teaching in the Environment of Cloud Computing Technology. The program builds a computer experiment teaching environment on the basis of cloud computing technology and launches a new teaching reform model based on cloud computing technology. On the basis of cloud computing technology, this paper discusses the practical cases of collaborative learning model and shows that the teaching reform design of computer experiment courses based on cloud computing technology can achieve good experimental teaching effects, further improve the quality of computer experimental teaching, and make students’ innovation and practice. The continuous improvement of capabilities is of great significance to the construction of a resource-saving experimental environment, curriculum teaching reform, and innovative experimental teaching modes.
Application Analysis of Feature Selection (FS) in Bioinformatics
Authors: Song Chang-xin 
Published: November 2019

Abstract
The feature selection (FS) algorithm selects the effective data from the M original features. The effective feature of low-dimensional data is the structural optimization of the high-dimensional samples. The sample data of bioinformatics was studied using the feature selection (FS) algorithm, which was mainly applied to gene sequence analysis, oligonucleotide array analysis and proteome data analysis. This will explore the intrinsic characteristics of biological systems. This paper mainly discusses the application of feature selection (FS) algorithm in life informatics, and points out the development direction of FS algorithm in bioinformatics by analyzing the problems existing in FS algorithm.
Deepening Information Mining Based on Big Data and Refined Decision Management
Authors: Hu Lin 
Published: November 2019

Abstract
With the rapid spread of cloud computing technology and the large-scale outbreak of Internet of Things and mobile Internet applications, humanity has entered the era of big data. Big data sets far exceed the capabilities of current typical database management systems to acquire, store, manage, and analyze. The era of big data has characterized by the in-depth excavation of data, prompting the management model to be refined. Although the data mining technology in the era of big data has brought good news for modern management, it also brings with it various challenges such as data security, data integration, and lack of innovative talents. To meet the changes in the era of big data and promote the refinement of management models, we need to pay attention to the combination of three aspects. The need for data mining technology has combined with the reality of our country, the “real-time” of data mining and the “predictive” of the future Integration; the development of data-depth mining technology combined with relevant legal safeguards.
Research on Germplasm Resources Informationization Based on Mobile Information Technology
Authors: Pu Wenhui , Li Hongli , He Yun , Hong Qingmei , Wenbin Hu 
Published: November 2019

Abstract
The traditional collection of germplasm resources adopts the form of paper collection tables. It takes a lot of manpower and material resources to field operations, and then collects, records, and analyzes the collected data. This operation method is not only time-consuming and labor-intensive, but also cannot perform images. And other important multimedia is data collection. The demand for images by germplasm researchers is not limited to its visibility. They urgently need a real-time, mobile, multi-source acquisition method to achieve a higher level of integration, including basic content, geographic location, and location information. And other multimedia information and other image data information. With the further development of information technology, the Internet has begun to be applied to various industrial fields, and has played a huge role. In order to solve the above-mentioned problems, it is necessary to apply information technology to achieve rapid collection of bamboo germplasm resources. The use of mobile computing and other related information technologies to build a data collection system for bamboo germplasm resources based on mobile computing has not only improved the theoretical application level of mobile computing technology, but also promoted the information collection process of germplasm resources. Therefore, in order to achieve the information collection of germplasm resources, it is necessary to closely integrate this work with mobile computing technology.
RETRACTED: The realization of network security technology based on cloud computing environment
Authors: Yan Wentao , Wang Sai , Wang Chengyuan 
Published: November 2019

Abstract
Cloud computing takes the network technology, virtualization technology, and distributed computing technology as the foundation. The business model of cloud computing is based on its own need and has formed a new application mode with the characteristics of dynamic extension, resource sharing, and others. The cloud computing environment refers to the integration of terminal devices, such as computers distributed on the Internet, to realize hardware and software resources by means of some kind of network calculation. The basic components include the application layer, platform layer, resource layer, user access and management, and technology and take all kinds of cloud computing services as the core. Under such an environment, the user’s data and resources in cloud computing are wholly dependent on the unreliable network communication and partially trusted cloud storage server, which makes the users question the safety of the cloud computing environment, and resulting the arrested development of cloud computing. In this paper, network security risks and current common computer network attack method in cloud computing environment were discussed in detail and the network security protection technologies were proposed to improve the security of network of cloud computing environment.
Design and Implementation of Resource Information Management Based on B/S Structure
Authors: He Dinghua 
Published: November 2019

Abstract
With the development of information technology, network technology and communication technology, mankind has entered the information society. Information society of enterprise management concepts, methods brought revolutionary changes in enterprise information management is a big trend in today’s world of business development, is one of the effective means of enterprises in the unbeaten status in the competition. Enterprise timely access to information, the information can be fully utilized has increasingly become an important factor to measure a company’s competitiveness in the market. This paper introduces the B / s structure information management system applications related technologies, and discusses the enterprise design Resource information management System. This paper studies the use of structural models of corporate information resources management system, it is reasonable to configure enterprise information resources to effectively tap and play information resources, and through the model to help companies improve their decision-making more scientific and efficient, which gives full swing business information and provide a reference.
Analysis and Design Research of Public Sports Information Processing System
Authors: Jin Tianxue 
Published: November 2019

Abstract
Public sports service, is to achieve and maintain social public or community sports public interests, safeguard the rights and interests of sports to achieve the goal, to the public sector as the core, on the basis of statutory duties, the use of public power, through a variety of ways and means, the general term for different forms of public sports goods for public conduct carrier them. Public sports service has four basic characteristics, such as public welfare, universality, basic and culture, and it has also become a public sports service. The public sports need is the source of the public sports service supply, and directly affects other links in the public sports service system. Public sports need are generally related to public interests and demands in social life, and sports need to be spillover, which is related to the direct or indirect benefits of the state and society. In this context, with the continuous improvement of the level of sports informatization, the public sports information management system has been applied more widely in school sports, competitive sports and social sports. From a single system to file system / server mode based on the client / server based (Client Server C/S) model of the system to the system based on the browser / server, management information system and various forms of service in sports management. This article follows the software engineering method, according to the actual needs of the management of public sports resources management business, expounds the system requirements analysis, system design, system implementation, and the whole system development process. The system takes VS as the development tool and ASP.NET as the development technology.
A Study on Design and Key Technology of Intelligent Power Grid Dispatching Visualization System
Authors: Kang Zhongmiao , Li Yijie , Wu Zanhong , Wang Ying 
Published: November 2019

Abstract
The design principle of smart grid and the operation mechanism of smart grid dispatching system are studied. A visual system design framework of Smart Grid Dispatching Based on interactive operation of visual interface is proposed. The intelligent grid dispatching visualization model was constructed from four aspects: early warning, analysis, control and observation. The key technology research including system intelligent intelligence and rapid simulation modeling was analyzed in detail. It is designed to ensure the safe and stable operation of the system while improving the efficiency of the dispatcher.
Research on Active Distribution Network Monitoring and Police Method of Substation Based on Fault Tree
Authors: Hao Dai , Zhenbao Yang , Zhicheng Xue , Zhiwen Cui 
Published: November 2019

Abstract
Substation is a power facility for transforming voltage, receiving and distributing power, controlling power flow and adjusting voltage in power system. After the active distribution network fails, it can effectively improve the power supply reliability of the distribution network by comprehensively utilizing the islanding operation ability of the standby contact line and the internal DG to restore the power supply for the outage load after the failure. Considering the main transformer fault and the timing characteristics of the DG output, the fault point is located in the shorter section between the intelligent bodies through the initial fault location. The fault secondary point is used to determine the fault point and the switch on both sides of the fault point is disconnected. Isolating the fault zone and restoring the power supply of the non-faulty section. It is an important technical measure to ensure that the voltage of each node in the power grid meets the required constraints, accurately locate the fault point, and ensure the reliable operation of the power grid.
Reliability - Based Distributed Generation Optimization in Demand Response Planning
Authors: Niu Getu 
Published: November 2019

Abstract
Energy is an important material basis for social development. People should pursue the optimal distribution of distributed power generation in the transmission system, establish a new power algorithm, and form the optimal power distribution scheme. The economy and safety of power operation can be guaranteed, and the distribution mode of distribution network becomes more reasonable. On this basis, it is hoped that the study of this paper can provide some constructive suggestions for the power generation of the transmission system, and various demand can be satisfied.
Analysis of interference and protective measures of electrified traction current on signal track circuit based on Moire signal
Authors: Wang Juanjuan , Jian Yajuan , Zheng Jianbo 
Published: November 2019

Abstract
In railway transportation, electric traction can greatly improve the transportation capacity, can significantly save energy and has no environmental pollution. It is one of the main signs of railway modernization. With the development of railway transportation and the increase of train weight and train speed, the electric traction current also increases. Electric traction also brings great strong electric interference to railway signaling equipment, and the influence of traction current on signaling equipment also increases. However, the return of unbalanced traction current in the rail has the most serious conductive interference to the track circuit. If certain protective measures are not taken, it will affect the normal operation of the track circuit. The track relay malfunctions, causing an error display signal, a locked circuit error to unlock, and even burning the device. Such as rail circuit insurance, choke transformers, etc. Without the support of more advanced railway signal equipment, the advantages of electrified railways cannot be fully utilized. Therefore, it is necessary to understand the formation of the unbalanced current of the rail and take protective measures to make the signal equipment work stably and reliably.
Forensic originality identification of iPhone’s voice memos
Authors: Zeng Jinhua , Lian Qiuxiu , Shi Shaopei 
Published: November 2019

Abstract
In this paper, we focus on the meta-data analysis methods and digital forensics techniques to solve the problem of forensic originality identification of audio recordings recorded by the Voice Memos App in the iPhone. The Voice Memos App is the built-in application for voice recording and editing in the iPhone. We first introduce the features of the Voice Memos App. Then, the experimental study is carried out to collect and analyze the original and the non-original audio recordings from different iPhones and iOS versions. The file structure pattern, time related file attribute information pattern, application database data pattern of the original audio recordings are analyzed and concluded in this paper, which can be valuable for forensic identification of original audio recordings.
Real-time online monitoring and protection control system for automobile generator based on artificial intelligence
Authors: Bo Haonan , Qin Mengxin 
Published: November 2019

Abstract
This paper mainly introduces the shortcomings of the traditional automobile generator control system and the improvement of the defects of the traditional automobile generator control system. This article is divided into seven chapters to describe the design background, design ideas, implementation plans and test results of the intelligent detection and protection system for automotive generators. The first chapter mainly introduces the domestic and international research on the intelligent detection and protection system of automobile generators and the design significance of the intelligent detection and protection system of automobile generators. The second chapter briefly describes the overall design ideas and plans of the intelligent detection and protection system for automobile generators, and proposes the general design direction of the overall system. The third chapter puts forward the hardware implementation scheme of the intelligent detection and protection system of automobile generators. The fourth chapter mainly summarizes the design ideas and design methods of the main software of the system. The fifth chapter mainly sets the parameters of the intelligent detection and protection system of the automobile generator, and reduces the error to the allowable range. The sixth chapter is mainly about the experience and summary of this research topic.
Boolean Matrix Decomposition for Label Space Dimension Reduction: Method, Framework and Applications
Authors: Liu Lin , Tang Lin 
Published: November 2019

Abstract
Recently, the large number of labels challenges the traditional multi-label classification methods in various application scenes. We introduce a framework of multi-label classification based on Boolean matrix decomposition for giving various multi-label classifiers the ability to predict labels in a high dimension label space. The BMD module in this framework satisfies two conditions of ‘the column use condition’ and exacts BMD, which can reduce the burden on training and predicting task of multi-label classifier to some extent, and the predicted result of multi-label classifier can be restored to original label space by simply Boolean multiplying with matrix. Experimental results on yeast datasets demonstrate that our framework can work particularly well on datasets with a large number of labels and obtain a better predicting accuracy. In summary, the methods discussed in this paper constitute important basic for utilizing more multi-label classifiers in high label dimension space, which is the main contribution of this paper.
Collaborative Filtering Based on Orthogonal Non-negative Matrix Factorization
Authors: Huang Meng , OuYang JiHong , Wu Chen , Bo Liu 
Published: November 2019

AbstractIn order to study the application of orthogonal nonnegative matrix factorization (ONMF) in collaborative filtering, so as to improve the recommendation accuracy of collaborative filtering, firstly, the theoretical knowledge of the existing matrix factorization model was analyzed and discussed, and then linearization correction was added to the matrix factorization model. Secondly, orthogonal constraints were added to the traditional weighted non-negative matrix factorization model (WNMF) to make the algorithm decompose the original data into non-negative matrices. Finally, the NMF collaborative filtering algorithm based on unit factorization and graph regularization correction (RTGNMF) was proposed. Three models, RTGNMF, positive ONMF and WNMF, were compared in NMAE/RMSE on real simulated data sets. The results show that once Tikhonov is used to correct the parameters in NMF model in single graph, the RMSE value will continue to decline based on the parameter adjustment of D1 dataset. RTGNMF, ONMF and WNMF all change the recommendation performance of high-dimensional data to a certain extent. ONMF has higher recommendation accuracy than WNMF. The robustness and adaptability of RTGNMF, ONMF and WNMF decrease in turn. RTGNMF and ONME make up for the shortcomings of current collaborative filtering algorithms to a great extent, and have obvious advantages over traditional algorithms. Adding linear correction in the iteration process of matrix factorization can converge and oscillate progressively, and adding orthogonalization constraint can significantly improve the redundancy of data and effectively improve the recommendation accuracy of collaborative filtering.
An algorithm study of electrocardiogram signal denoising by using wavelet transform method
Authors: Liu Ruixia , Wang Yinglon , Shu Minglei , Gao Tianlei 
Published: November 2019

Abstract
In order to remove the noise interference in Electrocardiogram (ECG) signal, an optimal denoising algorithm based on wavelet transform is proposed. To make use of the multi-resolution feature of wavelet transform, it is adaptive to signal and can reduce the complexity of denoising algorithm, and ensure the ECG main information features are not lost. The results show that this method can effectively denoise ECG signal and is suitable for biological signal processing with low signal noise.
Projectile Impact Point Prediction Based on Genetic Algorithm BP Neural Network
Authors: Wang Sen , Wang Liangming , Jian Fu 
Published: November 2019

Abstract
Aiming at the problems of long calculating time and cumulative error in traditional projectile impact point prediction methods, a prediction method based on BP neural network is proposed in this paper. In order to avoid the local minimum and slow convergence speed, genetic algorithm is used to optimize the initial weights and thresholds of the BP neural network. The model of genetic algorithm BP neural network for predicting the impact point of projectile is obtained by training the model with a large number of flight state parameters and impact point information, and the simulation test is carried out. The simulation results show that the method can predict the impact point with high accuracy, and it is superior to the numerical integration method in calculating time. Therefore, it is reasonable and feasible to use this method to predict the impact point of projectile, which provides a reference for the practical application of projectile impact point prediction.
An embedded C language Target Code level Unit Test method based on CPU Simulator
Authors: Wang Heng , Chen Xinrui 
Published: November 2019

Abstract
For the 8bit MCU of RISC architecture which is widely used at present, the internal resources such as Rom Ram stack are all limited. If written in C language, a C language instruction will become a lot of machine code after compiling, and it is easy to find that the ROM space is not enough. Stack overflow, etc. One of the biggest advantages of C is that it has nothing to do with any particular hardware or system. This allows a user to write programs that run on almost all machines without any modification. This paper presents an embedded C language target code level unit test method based on CPU simulator.
A formal Analysis method of C language Real-Time system Operation based on TMSVL
Authors: Zheng Bigeng , Chen Xinrui 
Published: November 2019

Abstract
The formal method requires a certain mathematical foundation, and the formal method can accurately standardize and verify the software system, which greatly improves the security and reliability of the software. This paper further analyzes the basic things of C language. We also learn to analyze the known and unknown topics, learn to consider problems together, and gradually expand our thinking. In particular, when confronted with major problems, the breakdown into many small problems to solve. This paper presents a formal Analysis method of C language Real-Time system Operation based on TMSVL.