bluuebunny/crossref_metadata_2025_split huggingface dataset:
Key Technology Prediction and Strategic Analysis of Educational Robots Based on Patent Map Analysis
Authors: Xu Jianpin , Fang Jian 
Published: March 2020

Abstract
This paper uses the patent data of China HowNet and the SOOPAT patent database, uses patent maps as an analysis method, and uses life cycle theory and Logistic models to analyze and process key patents related to domestic and foreign educational robots and to make the key to domestic and foreign educational robots. The life cycle prediction research of the technology shows that the key technical fields of educational robots in the world have passed the nascent stage, and the key technologies of educational robots such as artificial intelligence, interactive technology, and manipulators are rapidly developing and are in a high-growth stage.
Experiment on Cognitive Load of Gesture Interaction Based on Semiotics
Authors: Sun Wei , Jin Yudi , Wang JinLong , Yang Hanbing 
Published: March 2020

Abstract
Objective: To explore the amount of information contained in gesture symbols and its relationship with cognitive load, and to provide theoretical guidance for gesture interaction design based on semiotics. Methods: Firstly, a user-defined method was combined with oral analysis to collect gestures and establish a corresponding semantic knowledge base. Based on the knowledge base, the icon algebra theory is used to redesign the gesture symbols. Then through experiments combined with the NASA-TLX scale to measure the user’s cognitive load, and through data analysis to explore the relationship between the amount of information contained in the gesture symbol and it. Conclusion: The amount of information contained in gesture symbols has a significant correlation with the user’s cognitive load and response time. As the amount of gesture symbol information increases, the user’s cognitive load and response time also increase accordingly. Based on this, a regression equation of user cognitive load and information amount of gesture symbols is established, which provides theoretical support for the design of gesture symbols based on semiotics.
Application Technology of Wireless Computer Network in Intelligent Driving
Authors: Song Xinghua 
Published: March 2020

Abstract
With the continuous development of wireless network and Internet technologies, research on the application technology of wireless computer networks in intelligent driving has also entered the blowout development stage. The purpose of this paper is to study the application technology of wireless computer networks in intelligent driving. This paper also proposes an optimization solution for wireless vehicle networking in view of the many disadvantages of the traditional traffic law enforcement management system. This article first briefly introduces the concepts of the Internet of Things, the Internet of Vehicles, and wireless systems, analyzes the necessity and feasibility of the fusion of the two technologies, and then proposes a framework for the integration of wireless computer network technology and Internet of Things technology. Various innovative applications of the Internet of Vehicles based on this architecture in intelligent transportation are analyzed and demonstrated. Wireless networked car networking has demonstrated its superiority to a certain extent in the application of several special scenarios, alternative analysis of ETC systems, and optimization of traditional traffic law enforcement management. At the end of this paper, a GA algorithm based on wireless networked vehicle networking applications is proposed. Through the results of the algorithm, it is concluded that the system performance and economic performance of wireless vehicle networking are superior. According to the experimental results, the system developed in this paper can not only solve the vehicle congestion situation, but also reduce the occurrence of traffic accidents.
Key technology of Laparoscopic Surgery Training System Based on Virtual Reality Technology
Authors: Li Tingting , Liu Shi 
Published: March 2020

Abstract
This study combines virtual reality technology with laparoscopic surgery training, based on the immersion, interactivity and imagination of virtual reality technology to provide doctors with new solutions for laparoscopic surgery, and quickly improve the use of laparoscopic surgical instruments by interns. The mastery of the laparoscopic surgical procedure is applied to the teaching, training and assessment of the intern, so that the intern can carry out the surgical training under the experience of being as close as possible to the real surgery, and improve the clinical technical level.
Support Vector Machine (SVM) Marketing Strategy Analysis Method Based on Time Series
Authors: Jiang Leilei 
Published: March 2020

Abstract
In the era of “Internet plus”, the traditional marketing strategies of enterprises need to be adjusted, including the combination of advanced technology for marketing and innovative development of marketing strategies. Innovative marketing strategy is an opportunity and challenge faced by the development of enterprises. Seize the development opportunity and actively innovate marketing strategy to improve their own marketing level and enhance their core competitiveness. The purpose of this paper is to study the marketing strategy of support vector machine based on time series. In this paper, from the perspective of machine learning, in order to “Internet +” era of development as the background, according to the reality and the related theoretical basis, method innovation enterprise marketing strategy as the research object, build support vector machine (SVM) based on time series of marketing strategy framework, and starting from the actual situation of the framework of empirical analysis, in the hope of enterprise marketing strategy can fully embody the dynamic real-time dynamic. Enterprises use support vector machine (SVM) based on time series to predict and analyze marketing strategies, which can well deal with emergencies, deal with risks in time, solve crises faced by enterprises, contribute to the rapid development of enterprises, and promote the steady forward development of enterprises.
Information Hiding Technology in Power System Network Security
Authors: Huang Jie , Li Jing , Wang Jie , Tian Li 
Published: March 2020

Abstract
Since the beginning of the 21st century, with the popularization and application of electronic information technology in the power system, the power system information network security has begun to attract the attention of all walks of life, especially the power enterprises. To ensure the safety of electric power information network is not only the need to ensure the safety of industrial production and residents’ daily electricity consumption, but also the internal demand to ensure the stability, development and prosperity of national economy. In the electric power industry, the information security of the electric power system is directly related to the production, operation, management and operation of the electric power enterprises. When these information data are illegally violated, it will bring adverse effects to the electric power enterprises. It can be seen from this paper that the network security of the telecommunications industry accounts for a large proportion of 18.7%. Therefore, information security is the important protection content of power enterprise network security. The emergence of information hiding technology, a good realization of the power network information security protection, this paper will be information hiding technology as the focus of research, analysis of its application in the power network security.
An Improved Hybrid Clustering Algorithm Based on Particle Swarm Optimization and K-means
Authors: Liu Shuying , Zou Yanfei 
Published: March 2020

Abstract
The most common algorithm in data mining is cluster analysis. Cluster analysis algorithm has been widely used in many fields, especially in data analysis, market research and pattern recognition. K-means clustering algorithm(KMCA), as one of the common algorithms in clustering analysis, occupies an important position in clustering analysis and has relatively more applications. However, in recent years, with the deepening of the application of clustering analysis algorithm, it is found that there are a series of problems in KMCA, which directly affect the accuracy of data analysis results. On this basis, a bionic optimization algorithm, particle swarm optimization algorithm, is generated, which makes up for the shortcomings of KMCA. The aim of this paper is to establish the optimal algorithm for data analysis by means of the research on the improved hybrid clustering algorithm of particle swarm optimization and k-means. The experimental results show that the algorithm can effectively integrate the advantages of particle swarm optimization algorithm and KMCA, which not only improves the speed of the algorithm, but also guarantees the accuracy of the results.
Threat Detection in Power Grid Based on Hierarchical Feature Cloud Computing Model
Authors: Li Jing , Huang Jie , Liu Fen 
Published: March 2020

Abstract
The extraction of subjective features such as the authority, purpose, and opportunity of power network operators has outstanding subjectivity. It is difficult to accurately quantify subjective features due to the subjective factors of operators, resulting in fuzzy subjective features. Traditional algorithms use subjective features to detect internal threats to the power grid. Once subjective factors interfere, they will cause the defects of fuzzy main features, leading to a decrease in the accuracy of threats to the internal power grid. This paper focuses on the detection of power grid internal threats based on a hierarchical feature cloud computing model. This paper proposes a power network internal threat detection method based on the hierarchical feature cloud mapping model; calculates the hierarchical mapping relationship based on the internal threat features to complete the internal threat detection of the power grid; experiments prove that the algorithm avoids subjective factors being affected by subject characteristics, and The ambiguity of features reduces the missed detection rate to below 15.3%.
Application of Cloud Computing in Geological Exploration
Authors: Liu Pengcheng 
Published: March 2020

Abstract
The wide application of information technology in geological exploration will greatly improve the modernization level of geological exploration. At present, geological survey information work has entered the era of big data. How to break the limitation of independent management of geological exploration database and effectively integrate and share the accumulated massive geological exploration data has become a problem that the geological exploration information workers are eager to solve. The emergence and maturity of cloud computing technology provides a feasible solution to this problem. Firstly, from the perspective of public welfare and social service of geological exploration data, this paper summarizes and analyzes the application requirements of cloud computing in geological exploration work by studying the theoretical basis and relevant examples of cloud computing technology. Use Microsoft azure, SQL azure and other related products of Microsoft cloud computing platform azure to achieve the corresponding needs, research and clarify the relationship between geological exploration data and specific applications in geological cloud computing; use VMware vSphere virtualization platform to share existing and available hardware resources, and at the same time, research and build geoscience cloud storage mode based on virtualization technology to realize the sea Reasonable storage of quantitative geological exploration data; establishment of development environment with SDK provided by azure as the core for the development of application program of geological exploration data cloud computing; realization of data storage in the cloud for the purpose of integrating and sharing the achievement data of national mineral resource potential evaluation, and virtualization application of geoscience software.
Information Encryption Algorithm in Power Network Communication Security Model
Authors: Yang Chunyan , Ling Ying , Li Xin 
Published: March 2020

Abstract
With the rapid development of communication technology in power networks, data communications are facing traditional network security risks. The information encryption algorithm is a key part of power network communication security. How to ensure the acquisition of confidential data is one of the key factors for the normal operation of the power grid system. The study of encryption algorithms is of great significance to the power grid communication security. This paper mainly researches the information encryption algorithm in the power grid communication security model. The experimental simulation results in this paper show that for the key pair generation time, the SM2 algorithm can generate a 256-bit key very quickly, which is 130 times faster than the RSA algorithm in generating a 1024-bit key, and the 2048-bit key in comparison 730 times faster. Therefore, under the same security level, the encryption and decryption efficiency of the SM2 algorithm is significantly higher than that of the RSA algorithm, and with the increase of the security strength, the superiority of the SM2 algorithm is more prominent.
Research on the Quantitative Assessment and Security Measures of Hierarchical Network Security Threat Situation
Authors: Mai Rui , Wu Mingzhu 
Published: March 2020

Abstract
With the rapid development of modern network technology, technology not only changes people’s life, but also breeds a variety of new problems. With the popularization of network application technology, various kinds of harmful means are emerging, and network security problems emerge in endlessly, among which information network security is the most prominent. This paper mainly describes the development and response methods of information security threats, analyzes the main attack modes and the evolution of information security threats, and analyzes the development direction of vulnerability detection technology that threatens the root of information security. Aiming at the security problem of school network, through analyzing all kinds of hidden dangers of network security, the best way is the hierarchical security solution. According to the implementation of the network security deployment cycle, security strategies are proposed from the network planning, network management and the use of network individuals.
Reservoir seismic inversion method and Key problems and Countermeasures in application
Authors: Ma Yan 
Published: March 2020

Abstract
Although reservoir seismic inversion technology has achieved some results in reservoir prediction and description, but due to the complex seismic geological conditions and the lack of in-depth and systematic research on the application conditions of the technology, to a certain extent, it has affected the wide application of the technology. Based on the classification and description of the current inversion methods, through the theoretical model and the inversion processing practice of a large number of data, this paper studies and summarizes the applicable conditions of several inversion methods, expounds some key problems existing in the application of inversion technology, and puts forward corresponding solutions.
Study on Integrated Energy System Scheduling Optimization Based on Runoff Algorithm
Authors: Yuan Wenwei , Yuan Shuhua , Luo Jinman 
Published: March 2020

Abstract
With the advancement of economic globalization, set energy production, supply and use of integrated energy system has become the current social indispensable material base, its advantage is to utilize the energy such as natural gas, wind energy, solar energy is transformed into each other basic conditions, based on the use of renewable function between the electric energy development model, in order to reduce harmful emissions and effectively promote the consumption of energy storage, supply and its efficiency for the development goals, finally realizes the comprehensive optimization of energy system operation and development. However, the practice based on integrated energy scheduling can not achieve the best expected results, and there is a paradox between the theoretical basis and the fact. Therefore, based on the study of integrated energy system scheduling optimization, combined with different research status at home and abroad, this paper proposes a runoff algorithm to realize the economic operation mode of energy system, in order to solve the problems in the implementation process of integrated energy system scheduling, and promote the development trend of high efficiency and stability.
AI Implementation of Freehand Ink Dynamic Modeling and Rendering Algorithm
Authors: Chen Jing 
Published: March 2020

Abstract
Freehand brushwork is the quintessence of Chinese culture and a business card of Chinese culture in the international cultural market. However, domestic games seldom use freehand brushwork style to make real-time dynamic rendering of game pictures. The basic reason is that the picture structure of freehand brushwork is complex, there are many elements, and the terminal computing power and rendering cycle cannot achieve more than 30 frames of game pictures per second Dyeing effect. Through the analysis of this paper, through simplifying the model and optimizing the rendering logic, we can realize the dynamic rendering of freehand ink painting style animation.
Modeling and simulation analysis of computer network defense
Authors: Wang Juan 
Published: March 2020

Abstract
With the continuous development of computer network, its network drawbacks are also increasingly prominent. There are more and more computer network attacks caused by computer network hackers and viruses, which have gradually attracted the attention and attention of government departments, military agencies and national security departments. In order to effectively improve the security of computer network, various computer network attack and defense technologies are constantly updated, and the network attack and defense simulation methods are proposed for the characteristics of network attack and defense technologies Analysis and experiment provide a platform for development. In this context, the computer network modeling and simulation method is born. Applying the modeling and simulation method to the network attack and defense security of the computer can effectively avoid the damage of the computer network. At the same time, this modeling and simulation method also has certain repeatability, flexibility, and does not consume a lot of time, which can effectively ensure the network security of the computer. This paper mainly analyzes this computer modeling and simulation method, in order to promote the computer network security.
Information Integrity Evaluation of Information System Integration Based on Bayesian Algorithm
Authors: Liu Liyuan , Luo Jinman , Gao Chengfang , Zhao Shanlong 
Published: March 2020

Abstract
Information system integration information needs safe and effective data. Ensuring the stability and integrity of data is a crucial step to realize the information integration of information system. As for data integrity, there have been a lot of studies in the academic field. Most of the research directions are based on the macro perspective, discussing what is integrity, how to guarantee technology and other theoretical studies that need to be discussed from a holistic perspective, belonging to the qualitative research provided for information integrity of information system integration, while quantitative research is a little insufficient. This research focuses on quantitative research, the Bayesian prediction algorithm compared with other prediction algorithm, the Bayesian prediction algorithm is used to calculate the integrity transition probability of quantitative evaluation model, in order to get the parameter value, to demonstrate that the Bayesian algorithm is more suitable for forecasting the integrity of the information system integration evaluation, data is used to demonstrate the Bayesian prediction algorithm for information system integration information integrity evaluation more efficient and applicable.
Visualization technology in Computer Science
Authors: Chen Kuntian 
Published: March 2020

Abstract
This paper focuses on the analysis of data preprocessing and data periodic regression under the condition of complex data. It includes a linear data projection technology, a nonlinear data projection technology, a data periodic regression technology and a more intuitive data visualization display technology after data periodic regression. Through the above technology, we can make the complex data more intuitive display, and show the details of the relatively dense part of the data.
Application In Communication Equipments Antiseismic Time History Analysis Based on Advanced Mass Scaling
Authors: Du Wenman , Gao Yongqiang , Zhang Shanshan , Sun Guoliang 
Published: March 2020

Abstract
RADIOSS is a powerful and stable explicit non-linear finite element analysis (FEA) solver in Altair HyperWorks. In this paper, the seismic time history analysis of communication equipment based on RADIOSS solver was taken as the research object. In the numerical simulation, three methods were applied in the computational efficiency enhancement: the non-timestep control method, the traditional mass scaling technology, and the advanced mass scaling technology (AMS). Calculations prove that the AMS technology in RADIOSS can not only improve the solution efficiency, but also guarante the calculation accuracy in antiseismic time history analysis.
Design and implementation of ITS Architecture based on Big Data
Authors: Long Qiong , Duan Xian-Li 
Published: March 2020

Abstract
With the progress of social economy and the rapid development of transportation industry, in the face of the rapid growth of urban road traffic data, this paper puts forward the design scheme of intelligent traffic analysis system based on Hadoop. In this paper, HBase distributed database is used to store urban road static RDF data, hive data warehouse is used to store urban road traffic data, and MapReduce programming model is used to store massive and heterogeneous urban road traffic data The urban road traffic data are analyzed, and the whole scheme is verified by the prototype system.
The Application of Multimedia Network Technology in Network Technology
Authors: Li Lihui 
Published: March 2020

Abstract
This paper reviews the core technology system of machine translation under the condition of multimedia technology, and holds that the key links of machine translation are “sentence element” extraction, corpus selection, word selection, word order adjustment, sentence evaluation, etc., which can be realized by machine learning neural network. Corpus maintenance is not only the core work of MT, but also the key to determine the quality of Mt.
Optimization of Trajectory Design for Highly Deviated Directional Wells
Authors: Liao Xiaojia 
Published: March 2020

Abstract
Highly deviated directional well technology has the advantages of drilling through longer shale gas reservoir section, detecting and controlling gas bearing area in a large range, and greatly improving gas production of single well. Based on the preliminary work of vertical well and pre exploration well, through the optimization design of well bore structure, well trajectory, BHA, drill string mechanics, drilling fluid, cementing and other technologies, the drilling engineering design scheme of high angle directional well in accordance with shale gas exploration in high steep structural area is optimized, and the formation pressure profile and bit selection scheme are established to form a set of drilling technology for efficient development of shale gas The technology system can be used for reference for the exploration and development of shale gas and coalbed methane in other areas in the future.