bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Evaluation Model and Method of “Generaliztion, Serialization, Combination” Degree of Naval Gun
Authors: Wang Hongguang 
Published: October 2020

Abstract
In China, there are some problems about the degree evaluation of “generaliztion, serialization, combination” of naval gun, such as the lack of inheritance, the incompleteness of the standard evaluation system, the limitation of the evaluation scheme, and the disunity of the evaluation standard system. In order to solve this problem, this paper established of the degree evaluation model and method of “generaliztion, serialization, combination” of naval gun, by which define the coefficient of generalized number of pieces and the coefficient of generalized type spectrum. This method provides certain data support for the development and production of naval gun series.
Architecture Design of Emotion Recognition Early Warning System Based on AE-TAN Algorithm
Authors: Zhang Yongxiong , Huang Xiangzheng , Wang Liangming 
Published: October 2020

Abstract
In order to improve the analysis effect of human emotion text data, this paper proposed NB algorithm, TAN algorithm and AE-TAN algorithm model method. In addition, three index parameters, precision, recall and F1 value, are compared and analyzed under three different algorithm model scenarios. The experimental results show that the AE-TAN algorithm is superior to the other two algorithms in Chinese text emotion analysis. Based on the AE-TAN algorithm, the architecture design scheme of emotion recognition early warning system was proposed in this paper, which has the characteristics of high concurrency and high availability, thus laying a technical foundation for the system that can quickly and accurately warn people of psychological problems.
Resource Management Method of Distributed Parallel Database Based on Directed Graph
Authors: Shi Yingjie , Zhang Huayun , Wang Xiang , Zhou Yuchao , Jiang Shusong 
Published: October 2020

Abstract
A distributed parallel database resource management method based on directed graph is proposed. By using content distributor based on distributed unstructured P2P network association, the high performance and stability of distributed parallel database system in dynamic changing environment are guaranteed. The problem of network congestion caused by too many redundant messages and the “barrel effect” caused by resource imbalance due to differential configuration is solved, through resource search algorithm based on directed graph lookahead, and the query node cached the resource information of two-level neighbor nodes. By adopting the Linux cgroups resource management mechanism, fully considering the multi tenant and multi factor based resource scheduling strategy, reduce resource fragments and better meet the problem of distributed parallel database storage or hot spot processing.
A Study of Internet-Based Collaborative Translation Model for Chinese American Literature
Authors: Shao Juanping 
Published: October 2020

Abstract
The Internet has brought great changes to our study, life, interpersonal communication and so on. With the popularization of the Internet, “Internet +” has become a new model that promotes the rapid development of various industries and nobody can escape from it. The Internet collaborative translation model can improve translating efficiency and quality, and it is conducive to the communication and broadcast of different cultures. So, it can be taken as a new possibility and attempt to translate Chinese-American literature. But, there are also some problems such as inconvenient management of translating process, great differences in styles and quality of translated texts, and so on.
The Design and Realization of Intelligent Greenhouse Control System Based on Cloud Integration
Authors: Zhao Hong , Kong Dongyi 
Published: October 2020

Abstract
In order to solve the problems of high cost and large input resources of traditional greenhouse management system, this paper designs an intelligent greenhouse management and control system. The core control part of the system uses a cloud integration design architecture chip, based on China’s Alibaba dominated YoC platform to realize the cloud integration design. The end side design with a master control board which using a 485 bus communication, and polling mode was adopted to realize the sensor data acquisition and actuator control; The cloud side creates Topic list on the cloud platform of Internet of things, communicates with the end side through the subscription and publication mechanism of MQTT protocol, and realizes data upload and cloud instruction acquisition. Finally, the function test is carried out in the environment of greenhouse simulation mode.
Design and Research of Elevator Group Control System Based on PLC
Authors: Zhang Xuexia , Shang Ying 
Published: October 2020

Abstract
This paper is based on the research of elevator group control system based on PLC, aiming at the phenomenon of elevator in the running process of long time elevator phenomenon, on the basis of improving the utilization of elevator, put forward the overall design structure of elevator group control system, through the communication and control between group control and single elevator, to achieve the unified coordination of elevator scheduling. Considering the riding comfort of passengers, the shortest waiting time of passengers is shortest, and the algorithm of elevator group control scheduling system is analyzed according to the time delay algorithm. At the same time, the elevator control system is analyzed in detail, using PLC to achieve the hardware circuit design, complete the elevator control signal processing, through the inverter control motor operation, to achieve the elevator uplink and downlink. In the design of elevator control software, the overload detection and the delay treatment of the switch door are set up to improve the safety of the elevator, so that the elevator can develop in the direction of intelligent.
Application of Human Body Recognition Technology in Scientific Research Sites
Authors: Liu Yugang , Zhang Xiaofeng 
Published: October 2020

Abstract
In schools and various scientific research institutes, there are a lot of confidential places, such places usually have a person in charge of the management of the scientific research platform. It is an effective method to detect people entering the secret place by video surveillance and give early warning and warning to outsiders. In the video monitoring in normal use, the recognition method of human body is a kind of dynamic pattern recognition, in order to be able to quickly form to the variety of the human body for effective identification, this paper uses the fuzzy clustering method to filter the static image elements in the video image, in view of the dynamic pixel area, by using convolutional neural network to identify the human form, improve the system recognition robustness for optimized recognition effect.
Research Based on the Python Networkx Toolbox Analysis of the Trade Network Structure from an Information Flow Perspective
Authors: Zhong Bingcheng , Hu Yang , Yang Junyu 
Published: October 2020

Abstract
Based on the python networkx toolbox analysis of the trade network structure form an information flow perceptive, studies show that China’s import and export trade with some areas along the “The Belt and Road Initiative” has declined, but overall, whether it is Both import demand and export demand are rising year by year, which shows that China and the various regions along the “The Belt and Road Initiative” line have become closer in terms of trade and international trade trends have become more apparent.
Design of Intelligent Pedestrian and Vehicle Guidance System for Zebra Crossing Based on Millimeter Wave Radar
Authors: Guo Peng , Xiang Hong , Wu Shengguang , Pu Tian , Chen Dongyang 
Published: October 2020

Abstract
In order to protect the life safety of the pedestrian and strengthen the intelligent management of urban traffic, this paper’s proposes is a set of low-cost and easy-to-install intelligent transportation pedestrian and vehicle guidance system. The system can be applied to the non-crossroads zebra crossing. On the premise of ensuring the safety of crossing pedestrians, it would reduce the waiting time of vehicles when there are no pedestrians or scattered pedestrians passing by, to improve the vehicle traffic rates and avoid the traffic accidents about people and vehicles snatch the right of way, so as to effectively guide pedestrians and vehicles to pass. The system uses STM32L431RCT6 microcontroller as the main control chip, uses millimeter wave radar technology to monitor the number of pedestrians in front of the zebra crossing, intelligently controls the time of pedestrian passing, and coordinate the traffic lights on both sides of the road for countdown display by Lora, and switches the traffic status of vehicles and pedestrians, for realize the function of traffic command. At the same time, the system will automatically upload the number of pedestrian to OneNET, providing access and management interface for superior applications, so that the transportation department can master the travel rules, and provides travel data for the construction of smart city. The system also can receive data returned from OneNET, and flexibly control the time of pedestrian passing at that moment.
Design of Operating Platform for Intelligent Charging Pile Based on Micro-service
Authors: Pan Xueyuan , Hu Shejiao 
Published: October 2020

Abstract
The introduction of “new energy vehicle charging pile” as one of the contents of “new infrastructure” indicates that the field of charging pile is facing a new round of technological innovation, deployment difficulties and other shortcomings are no longer suitable for its charging operation of the growing business needs. In view of this, a design method based on microservice architecture is proposed. The open source distributed framework Spring Cloud and its components are used to realize the mechanism of service registration discovery, load balancing, service fault tolerance and so on. The reformed operation system has a clear structure, stable operation, timely monitoring and processing of abnormal information such as charging pile fault, and has a broad application prospect.
On-line Detection of Malicious Activities Based on Edge Computing in Micro-grid System
Authors: Lei Wenxin , Xu Aidong , Lin Haojie , Hou Wenjing , Zhang Yunan , Jiang Yixin , Mao Zhongqi , Wen Hong 
Published: October 2020

Abstract
With the continuous deployment of smart grids, various new smart technologies applied to the power grids have emerged, and the security boundaries of the power systems have gradually blurred, so that the power security protection measures urgently need to be updated. Aiming at the smart micro-grid system based on edge computing, this paper introduces a non-intrusive load monitoring (NILM) method, combined with the advantages of edge computing, and designs an online detection mechanism for malicious activities of terminal devices. This method is dedicated to achieving device-level security assurance.
Design of Man Hour Management Information System on SpringBoot Framework
Authors: Chen Jian , Pan Hailan 
Published: October 2020

Abstract
This paper introduces an information system based on SpringBoot framework of man hour management, by analysing the problems existing in the man hour management workflow and process in an industrial design and assembly company. Like fraud timesheet, confusion of validation, etc. This paper designs the different function modules and provides the overview of the system, and explains the reason of using SpringBoot framework. Finally, describe the improvement for the company in both controlling and processing level.
Enhancing the Security of Mobile Device Management with Seccomp
Authors: Niu Yingjiao , Wang Yuewu , Jia Shijie , Zhou Quan , Lei Lingguang , Zhang Qionglu , Zhao Xinyi 
Published: October 2020

Abstract
Mobile devices today have been increasingly used to store and process sensitive information, and Mobile Device Management (MDM) solution is provided in Android systems to manage the mobile devices. MDM solution enforces device policies through calling Device Administration APIs provided in Android system. However, these APIs are usually implemented in user space, thus make the system more vulnerable to be attacked. Potential adversary may bypass these secure policies by breaking through the isolation between processes. In this paper, we propose an approach based on the seccomp mechanism of Linux kernel to enforce device management policies on Android. Seccomp can restrict the system calls of Android process to enforce device management policies in a more secure way. Experiments results demonstrate that our work may work well and incur negligible overhead.
Study on Intelligent Perception Internet of Things Apply in Mine Safety
Authors: Xu Liangchen , Sun Lin , Wang Daoyuan , Li Jingzhao 
Published: October 2020

Abstract
Due to the complexity, multi-source and heterogeneity of mine safety scene perception information, the mine safety monitoring system has some problems, such as slow perception, communication lag, lack of effective information extraction and intelligent decision-making, a mine safety situation perception self configuration system based on the Internet of things is proposed in this paper, the architecture and perception model of mine safety situation perception system are established, and the embedded neuron is designed mine safety monitoring system based on perceptual node and distributed neural network. The unscented Kalman filter is used to adjust the BP neural network to reconcile and process the multi-sensor parameter information. The simulation results show that the system has good fault tolerance and high precision of intelligent decision-making, which plays an important role in improving mine intelligent level and safety production.
Efficiency Analysis of Collaborative Based Recommendation System
Authors: Khalid Waleed , Xing Xing , Julius Aikodon , Niu Yong , Tahir Osama , Ihsan Imran 
Published: October 2020

Abstract
Over the recent times, there has been great enhancement towards online shopping and platforms that provide commerce. Hence, great research and work has been done and is being done in field of recommendation systems. With this great development, there has been an exponential increase in online inventory due to the great number of users excessing these online platforms for buying and selling purposes and companies are often looking for advanced recommendation systems to provide their customers with the best online experience in respect towards each individual customer. It is believed that recent advancements in Deep Learning may provide an optimal solution for better recommendation systems, but it requires validation. The main aim of this paper is to follow through different research and investigate whether modern Deep Learning algorithms live up to the expectations and demands. Different reviews have been given in support with experiments. This literature review provides an analysis of different practices, state of the industrial methodologies and current research.
A Surrogate Model Based Genetic Algorithm for Complex Problem Solving
Authors: Pei Ying , Gao Hao , Han Xiaosong 
Published: October 2020

Abstract
It is well known that when the fitness function is relatively complex, the optimization time cost of the genetic algorithm will be extremely huge. To address this issue, the surrogate model was employed to predict the fitness value of the optimization problem, to reduce the number of actual calculated fitness values. In this paper, BP neural network, the least square method and support vector machine were fused in the genetic algorithm to evaluate partial individuals’ fitness. Sufficient benchmark numerical experiments were conducted, and the results proved that the strategy could reduce the calculating counts of fitness function on similar accuracy basis compared with simple genetic algorithm.
A Three-stage Multiple Criteria Decision Making Model Based on AHP-TOPSIS and AFS Concept Description
Authors: Tao Lili 
Published: October 2020

Abstract
In this paper, we propose an integrated model to solve the multi-criteria decision making problem.Firstly, AHP method is applied to calculate the weight value of each attribute on all the alternatives; secondly, TOPSIS method is used to get the preference value based on the weights calculated in the first step; finally, AFS concept description algorithm is employed to give the semantic descriptions of performance characteristics for all the alternatives. Compared with other models, this model can not only consider the comprehensive preference value, but also consider the specific performance characteristic of the alternative, which makes the decision more scientific. The supplier selection problem is applied to explain the application ability of this model.
A CIM-Digital Heterogeneous Accelerating System with Analog Interconnection for Neural Networks
Authors: Xu Rui , Xiang Zikun , Tao Linfeng , Jin Xi 
Published: October 2020

Abstract
In recent years, computing in memory (CIM) has been regarded as a promising competitor for low-power accelerators for neural networks. Different implementations based on various memories like ReRAM and flash memory have been proposed. However, a ‘cloud’ is hovering on the horizon of CIM. The limited frequency and high power consumption of DACs and ADCs have become major obstacles of further improvement of the power efficiency of CIM accelerators. The method of utilizing a more advanced process to increase the frequency and reduce the power consumption of DACs and ADCs can hardly be used because of the tight coupling of memory process and CMOS logic process in CIM accelerators. To solve this problem, this paper proposes a CIM-digital heterogeneous neural network accelerating system with analog interconnection. It decouples the CMOS logic process and the memory process in CIM accelerators by using analog interconnection, and implements ADCs and other units in an independent CMOS process. According to experimental results, compared to prior CIM accelerators, the proposed architecture can achieve an increase in the sampling rate of 26.7 times, to 100 MHz, and an increase in the performance of 26.7 times accordingly. The power efficiency can be improved 5.8 times.
Research on the Path of Internationalization of Higher Vocational Education Based on Computer Aided Technology under the Background of One Belt One Road
Authors: Hu Anlin 
Published: October 2020

Abstract
The internationalization of higher vocational education has become an important trend in the development of vocational education, which is an important indicator of the construction of “double first-class” higher vocational education. The introduction and implementation of the “one belt and one way” national strategy has provided a direction for China’s higher vocational education, which has brought tremendous opportunities and challenges to the internationalization of education. This paper uses computer-aided technology to first analyze the significance of internationalization of higher vocational education. Then, this paper puts forward some questions. Finally, some suggestions are put forward.
Specific Strategies for Selection of 5G Networks Based on Computer NDN Technology
Authors: Pu Baoqing , Sa Zhimin 
Published: October 2020

Abstract
5G network is the main point of mobile communication research, as a new generation of mobile communication system, compared with 4 G network over-frequency utilization and energy efficiency, transmission rate and resource utilization is higher, user communication quality has been improved. This paper analyzes the 5 G fusion network access selection strategy under the framework of NDN technology network to determine the most suitable analysis method and algorithm to reduce the influence of various factors.
Research on Intelligent Traffic Monitoring System Based on Image Recognition Technology
Authors: Wei Bin 
Published: October 2020

Abstract
With the rapid development of China’s national economy, the number of cars on domestic expressways and in cities has greatly increased. Cities have more and more facilities, such as roads and parking lots, while traffic control and safety management requirements are increasing. In Japan and overseas, Intelligent Transportation System (ITS) has become the main direction of current traffic management development and image recognition based on image recognition technology. As one of the core technologies of computer intelligent transportation system, computer technology is an important part of intelligent transportation system. The wide application of this technology will make a great contribution to the automation of traffic management in China.
Research on the Safe and Efficient Utilization of Computer Technology in the Large-scale Development of New Energy Power
Authors: Chen Bingqian 
Published: October 2020

Abstract
New energy mainly refers to various forms of energy other than traditional energy, including wind energy, solar energy, hydropower, geothermal energy, etc. New energy power generation refers to relying on these new types of energy for power generation, rather than relying solely on Traditional energy sources such as coal and petroleum generate electricity. The use of new energy methods to generate electricity can not only realize the sustainable use of resources, but also optimize resource allocation, convert idle resources into usable resources and improve resource utilization. In order to promote the management of power projects in an orderly manner, we need to establish a scientific and effective computer system, so that we can effectively guide the development of power project management and effectively improve its development efficiency.
RETRACTED: Research on the Influence of Electrified Railway Interference on Outdoor Signals Based on Computer Simulation Analysis under High Speed Rail and Heavy Load Conditions
Authors: Wu Bo 
Published: October 2020

Abstract
As an important guarantee for the safety and reliability of the system, the signal anti-jamming of electrified railway has always been an important part of railway signal research. In the high-speed and heavy-load electromagnetic environment, the core signal equipment is also facing greater challenges. Therefore, we will use computer simulation technology to analyze the influence of electrified railway interference on outdoor signal. Based on computer simulation and analysis, this paper focuses on the impact of strong EMI on railway signal and protection technology under high-speed and heavy-haul conditions.
RETRACTED: Research on the Teaching Mode of College English Listening Based on Computer Multimedia Platform
Authors: Liu Caiyun 
Published: October 2020

Abstract
Single teaching environment, limited teaching conditions and backward teaching equipment hinder the development of listening teaching. In recent years, with the development of science and technology, the application of computer multimedia in the classroom has greatly improved the teaching equipment and conditions of listening class, and made the classroom teaching of English listening have a qualitative leap.