bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study on auxiliary steam reducing device in marine nuclear power plants
Authors: Zhao Huijing , Zhao Guanhui , Ma Rui 
Published: March 2020

Abstract
The pressure reducing device is one of the important parts of the auxiliary steam system in marine nuclear power plants. The pressure of auxiliary steam is reduced to meet the requirements of users with low pressure steam of second-loop system. This paper proposes a new auxiliary steam pressure reducing device, which can reduce the pressure of auxiliary steam in a concentrated region, and then provide low pressure steam to users. The new auxiliary steam pressure reducing device decreases the size, simplifies the adjusting mode, and improves the stability and reliability of auxiliary steam system. At last, the unsteady-state simulation based on Jtop is carried out on the auxiliary steam pressure reducing system. The results show that, when the pressure of high-pressure steam at upstream is changed, the steam pressure is stable, which is provided to users with low pressure steam.
Bayesian Inference of Proportional Hazard Rate Model under Progressively Type-II Censored Sample
Authors: Hu Min , Ren Haiping 
Published: March 2020

AbstractStatistical inference of the parameter of the proportional hazard rate model is studied based on progressive type-II censored sample. Bayesian and empirical Bayesian estimators are first obtained under a scaled squared error loss function. Then we derived a class of Bayesian shrinkage estimators motivated by the idea of Thompson’s shrinkage algorithm based on obtained estimators. Finally, a practical example and Monte Carlo simulations illustrate that the proposed Bayesian shrinkage estimators are more robust comparing to the Bayesian and empirical Bayesian estimators.
Blind identification of network protocols based on improved Apriori algorithm
Authors: Chen Yingchun , Dai Yuchen , Xue Jingliang , Dong Fang 
Published: March 2020

Abstract
With the development and application of network technology and private protocols, more and more unknown protocols are found in communication networks. Analysis and identification of unknown protocols has become an important and difficult problem in obtaining valuable information from data. Based on the traditional Apriori algorithm, a reduced bit string algorithm and a weight compression algorithm are proposed to identify the unknown protocols according to the characteristics of network unknown protocol data in this paper. These proposed algorithms make use of location information, matrix compression, bit string and weight compression to gradually improve the identification accuracy and the processing efficiency of unknown protocols. Experiments on simulation data and actual data demonstrate the performance of the improved algorithms in terms of identification accuracy and time efficiency.
Major crop pests identification research based on Convolutional Neural Network
Authors: Luo Lijun , Ren Yan , Gu Ling , Wang Tianjiao , Zhou Fenglin , Yang Wanyi , Zhang Hongyan , Li Dongyu , Xu Jingwen 
Published: March 2020

Abstract
There are many kinds of crop pests in China and they are prone to disasters. Agricultural pests pose a serious threat to crop growth, so how to effectively identify crop pests is crucial. With the development of computer vision technology and artificial intelligence, the combination of computer vision technology and classification and identification of pests has become a hot and difficult point for experts at home and abroad. In this paper, based on the bag-of-words model and the GoogLeNet model, 2200 pest images collected were used as experimental samples to study the identification of crop pests. The experimental results show that the average classification accuracy of the traditional bag-of-words model is about 56.41%, and the GoogLeNet model recognition accuracy can reach 96.35%. The GoogLeNet model based on transfer learning has higher precision and stronger anti-interference ability than the traditional bag-of-words model.
The research and development of Soldering materials applied in IGBT modules packaging
Authors: Liu Keming , Yao Erxian , Yang Jinlong , Wang Yiwen , Hu Xiaogang 
Published: March 2020

Abstract
Power modules have attracted much attention in the market, especially for high-voltage applications like switch mode power, automotive powertrain. As the requirement of high reliability, high-temperature operation improves, the packaging materials should develop to meet the applications with high properties. In this paper, the soldering materials such as Sn based lead free solder, SnPb solder, Ag-sinter are demonstrated. Soldering materials reliability is described on reliability testing especially for power cycling, temperature cycling testing, thermal shock testing. The concept is based on different applications and soldering process on Si power modules and SiC power modules. Important materials properties of thermal conductivity, CTE (coefficient of thermal expansion), elastic modulus, melting point are discussed. By comparison, Ag sintering process has a good application in high power modulus especially for SiC. SnAg solder also has the potential application in SiC modulus by IMC diffusion soldering technology.
Preparation and Characterization of Cross-linked Poly(lactic acid) / Poly(butylene succinate) Blends
Authors: Zhao Miao , Hu Rong-Rong , Wang Hong , Yao Shan-Shan , Jin Fan-Long 
Published: March 2020

AbstractBio-based blends were prepared via solution blending and thermal cross-linking of poly(lactic acid) (PLA) and poly(butylene succinate) (PBS) using dicumyl peroxide (DCP) as a cross-linking agent. The thermal stability, flexural properties, and fracture toughness of PLA/PBS blends were investigated. The thermal stability of the blends increased with the addition of PBS and further improved by the cross-lingking. The flexural properties of the blends decreased with the addition of PBS and increased after the cross-lingking. The impact strength of the blend cross-linked with 0.10 wt% DCP increased to 4.25 kJ/m2, which increased by 32% compared to that of pristine PLA.
Synergistic effect of OZrP on the combustion properties and thermal degradation behavior of intumescent flame retardant polylactide
Authors: Zhan Jing , Liu Xueli , Cao Chunhua 
Published: March 2020

Abstract
Flame retardant polylactic acid (PLA) composites were prepared and studied using melamine phosphate (MP) as an intumescent flame retardant and organophilic alpha-zirconium phosphate (OZrP) as a synergistic agent. The flammability properties of PLA composites were investigated by UL-94 tests and microscale combustion calorimetry (MCC) experiments. It’s found that the incorporation of organically modified layered OZrP can further improve the flame retardancy of PLA composites and there exists an optimum content of OZrP. The SEM results about the char indicate that more homogeneous and compact char were formed with OZrP. In addition, the effect of OZrP on thermal degradation process of PLA composites was analyzed using in situ FTIR. The results show that the addition of OZrP decreases the onset decomposition temperature, but increases thermal stability at high temperature.
Steady State Energy Flow Analysis for Energy Internet Planning
Authors: Ji Xiaoqing , Wang Fei , Song Feng , Liu Junxu , Liu Jie , Xiong Dang 
Published: March 2020

Abstract
The planning and design of energy Internet is an important work. The basis of this work is energy flow analysis of the design network. In this paper, the energy flow analysis model of typical gas-electricity interconnection system is established. The mismatch equations and iterative algorithm for energy flow solution are given. The effectiveness of the algorithm is verified by a typical gas-electric interconnection example.
Identification of market power abuse in China’s electricity market
Authors: Cheng Ziyun , Li Hao , Xu Huihui , Dong Li , Tao Hongyuan , Hua Huichun , Wang Shenghua 
Published: March 2020

Abstract
The goal of this paper is to find a method to identify violations, which is suitable for China’s electricity market. Therefore the key problems in the process were discussed, that is, the trading rules and marketization degree which were different from those of foreign countries. So this article has done the following works to solve the problems. Firstly, this paper classifies and compares the identification indexes of market power abuse, and analyzes the advantages and disadvantages of each index, based on which an index system is proposed. Secondly, An intelligent identification algorithm based on support vector machine(SVM) is introduced and improved to solve the data imbalance problem. Also, the index system and the improved SVM were combined to cover the economic principle as well as improve the identification efficiency at the same time. Taking the simulation data as an example, the rate of violation recognition reaches 100%, which indicates that the method proposed in this paper is feasible and effective.
Study of distribution network fault location based on IACA
Authors: Liu Xue , Jia Jun , Wang Jian 
Published: March 2020

Abstract
The probability of the distribution network fault is the highest in power network. Correct fault location of distribution network is very important for the reliability of power supply. A simplified model of distribution network is established in the paper. Then the switching function and evaluation function are introduced for distribution network fault location. Because of some defects in fault section location of distribution network in ACA(Ant Colony Algorithm), the IACA(Improvement Ant Colony Algorithm) method is proposed. The results of an example shows that the method was correct and effective.
A new precharging strategy for hybrid MMC based on HBSM and FBSM
Authors: Han Lei , Jiang Junfeng , Yao Haitao 
Published: March 2020

Abstract
Precharging of the modular multilevel converter (MMC) is an important basis for ensuring the normal operation of MMC-HVDC system. The hybrid MMC based on full bridge sub-module (FBSM) and half bridge sub-module (HBSM) has reliable performance in DC fault ride-through capability and is receiving more and more attention. Due to the different charging characteristics of FBSM and HBSM, the sub-modules (SMs) capacitor voltages may be different at the end of the uncontrolled precharging process. This paper introduces conventional uncontrolled precharging strategy of the hybrid MMC and points out the problems in the process. Then a three-stage precharging strategy is proposed in this paper. This strategy can eliminate the capacitor voltages imbalance of different SMs and solve the problem of unsuccessful self-taking energy of HBSM during precharging process. Finally, simulation and analysis of the uncontrolled precharging process based on the proposed strategy are carried out.
Design and Development of Miniature Non-contact Multi-range Current Sensor
Authors: Xu Aidong , Li Licheng , Li Peng , Wang Zhiming , Wu Zhibing , Hao Changjin 
Published: March 2020

Abstract
High-performance sensors and high-efficiency and accurate measurement technology are the basis of power grid control, monitoring, analysis and decision-making. Current monitoring devices commonly used in power systems cannot meet the need for simultaneous measurement of steady-state current and transient current. In this paper, a high-performance current sensor based on giant magnetoresistance sensor is developed, and key technologies such as sensor structure, sensor chip selection, signal processing circuit and electromagnetic compatibility are designed. The experimental results show that the micro current sensor can accurately measure the steady-state current of 1000A and the transient current of 20kA. At the same time, it has the advantages of small size, high sensitivity, large measurement range, convenient installation and high integration, which meets the measurement requirements of smart grid.
Static characteristic analysis of a transmission line detection robot
Authors: Wen Guang , Su Rui , Yao Kun , Zuo Fangjun , Wu Xuefeng , Hui Chongli 
Published: March 2020

Abstract
The functions of the transmission line inspection robot mainly depend on the metal structure. Whether the strength of the metal structure meets the requirements is directly related to the reliability of the robot. Taking a flying-wheel transmission line inspection robot as the research object, the static characteristics of its metal structure under common load conditions are analyzed by finite element software, and whether the strength of the structure meets the application requirements is investigated. Through analysis, it is found that the maximum working stress of the metal structure of the robot under working load appears near the left wheel pressure, and its value is less than the allowable stress of the material. With the increase of wind pressure, the maximum working stress of the mechanical structure of the robot increases.
Design of rescue equipment for high altitude electrical operation
Authors: Mao Xiaojun , Zhang Yunfeng , Wang Zhan , Pan Wangxin , Zhang Weilin , Wang Jie , Song Jingen , Hu Xiaobo 
Published: March 2020

Abstract
In view of the fact that there are few kinds of robots can cross over obstacles in high-altitude electric power operation. Meanwhile, the existing robots are difficult to rescue falling workers, therefore, a robot that can walk over obstacles on the power transmission line is developed to solve the difficulty of high-altitude electric power transmission line rescue. The operating environment of the rescue robot for high-altitude transmission line is analyzed, and the obstacle jumping movement and rescue mode of the rescue robot are planned. The mechanical mechanism of rescue robot is designed. The robot is simple in structure, and can bear 500kg weight. It has strong mobility and wide range of application.
Research on Computer Network Service Quality Optimization Method Based on Integration of Multiple Artificial Intelligence Technologies
Authors: Huang Yan 
Published: March 2020

Abstract
Computer network optimization refers to the design of network protocol according to the solution mechanism and implementation scheme given by optimization theory, so as to solve the problems of task scheduling, resource allocation, system parameter allocation and network resource deployment in the network. With the rapid expansion of the coverage of computer networks and the advent of the network era, the development of artificial intelligence has been promoted. Artificial intelligence has been widely used in computer network technology. In order to further improve the service quality of the network, not only the existing network protocols need to be evaluated, but also the network reconstruction project needs to be carried out. Based on the current situation of computer network service optimization, this paper analyzes the difficulties in the process of optimization and puts forward the corresponding countermeasures, and expounds the importance and necessity of the integration of artificial intelligence technology for the optimization of computer network service quality.
Design and Research of under-Voltage Protection Circuit for Motor Driver Chip Based on Special Integrated Chip
Authors: Luojie  , Li Wenchang , Lu Huaxiang 
Published: March 2020

Abstract
Intelligent power integrated circuit chips play an increasingly important role in industrial automation, domestic medical appliances, automotive electronics, especially in modern military, aerospace and other fields. Based on the analysis of the current front-end verification problem of digital application specific integrated chip, the composition and working principle of motor drive chip, the design and composition technology of undervoltage protection function module and the perfect protection circuit not only ensure that the chip can work normally under some harsh conditions, but also play a vital role in the safety of the whole system sometimes. After the motor chip is verified by the flow sheet, packaging, testing and test result analysis are carried out to further predict and adjust the function and reliability of the motor chip. On the basis of analyzing the current front-end verification problem of digital application specific integrated chip, the circuit structure is simple, no additional bandgap reference circuit is needed, and the voltage comparator circuit is also omitted.
Classification of Encrypted Text Based on Artificial Intelligence
Authors: Zhang Bo 
Published: March 2020

Abstract
With the development of internet, information security is essential. The traditional decryption method only works for single encryption method. New models based on Artificial Intelligence to decrypt different kinds of encryption methods. Data features were extracted by tf-idf algorithm and applied into different models. The primary models to decrypt message without knowing whether encryption methods are logistic regression, lightGBM, and ensemble algorithm to decrypt encryption data. Comparing the performance in the models based on logistic regression and lightGBM algorithm respectively, we concluded that both the accuracy and F1 score of logistic algorithm are better than those of lightGBM algorithm. We also made improvement on the model by using ensemble algorithm. A more preferable performance including the accuracy and F1 score has achieved with multiple algorithm. Therefore, ensemble algorithm is more suitable for building general model to decrypting different kinds of encryption methods.
Type Identification and Classification of Cascading Failures of Time Sections of Dispatching and Operation Based on Data Mining
Authors: Yue Junying , Li Cunbin 
Published: March 2020

Abstract
The probabilistic distribution of cascading outages is one of the main measures to describe the propagation of cascading outages, and to evaluate the risk of the large-scale outages of the power system. Based on the analysis of the basic principles of data mining, basic principles of dispatching and operation and basic types of cascading failures, this paper give the type identification, occurrence probability and severity degree of cascading failures to provide some references for the relative researchers.
Research on the Model Construction and Development of Computer Information Acquisition System
Authors: Deng Rui 
Published: March 2020

Abstract
Nowadays, the number of crimes committed by computers is increasing, so computer forensics technology has become the focus of people’s research and attention. This paper designs the module structure of the computer information acquisition system, and focuses on the realization of the key technologies of the computer information acquisition system. It discusses the application of data mining on the web, and focuses on the analysis of web text mining technology. This paper proposes a method to acquire UNIX kernel information at the user level, and introduces a utility program to acquire index node table in UNIX system. At the same time, a prototype of a professional news information acquisition system is proposed. Taking the prototype of the system as the background, the application of information acquisition on the web is realized by using relevant technologies of web information search and web text mining.
Design and Implementation of Academic Search Aggregation Engine
Authors: Yan Jun , Xu Peng , He Yu , Wang Zhi 
Published: March 2020

Abstract
With the rapid development of the global Internet, academic search engines have become indispensable tools for academic research like literature, papers, books, preprints, and abstracts. The total amount of network information is growing rapidly today, and the global paper output doubles every five years. For academic researchers, it is very difficult to find papers that meet the needs in a large number of articles. Additionally, as the quality of journal papers varied, finding high-quality papers and accurately locating them is getting harder and harder. Many researchers find it tiring and inefficient that when looking for research fields, they need to read through a large number of articles in search results, and manually classify them. Through the clustering algorithm and data visualization and other related technologies, the systematic integration and classification of the search papers will help the researchers to accurately locate the required articles, and can greatly reduce the time for searching the documents. Regarding the previously stated problems, this thesis designs and implements an academic search aggregation engine (referred to as “aggregation engine”) based on cloud computing and some clustering algorithms. On the one hand, the aggregation engine distributes the user’s search request to multiple academic search engines, and then collects and summarizes the paper results, thereby uniformly displaying the search results; on the other hand, from the large number of papers obtained from academic search engines, the aggregation engine analyzes their titles, abstracts, and keywords, clusters papers with similar research points, and visualize clustering results to users, so that the result can be macroscopic and intuitive, grasping all the papers and the research points they involve. This paper first introduces the research background of the subject, through the investigation of the existing search engine and the existing aggregate search engine, it analyzes the needs of the researcher and other customers for the paper search; according to the demand analysis, we proposes a system design that distribute the search request to multiple academic search engines and then aggregated results. Finally, we realised the implementation of the aggregate search engine, and verified the effectiveness of the system through tests
Research on S2B2C E-commerce Model of Fresh Agricultural Products in the Field of Social E-commerce
Authors: Fu Lijun 
Published: March 2020

Abstract
Traditional e-commerce is facing the problems of exhaustion of traffic, slowdown of growth and decentralization of sales channels. At this time, social e-commerce is emerging. As one of the new modes of social e-commerce, S2B2C social e-commerce model has many advantages, such as reducing the purchase cost of enterprises, improving the standardization of the products delivered. The application of S2B2C e-commerce model in retail of agricultural products can solve the problems of difficult warehousing, logistics and low standardization. Based on a brief introduction of social e-commerce and S2B2C mode, this paper analyzed and studied the S2B2C mode of fresh agricultural products from the perspective of social e-commerce, and provided the basic technical framework for the implementation of S2B2C mode.