bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Intelligent Tourism Town Based on AI Technology
Authors: Wei Wei , Lin Qian 
Published: July 2020

Abstract
With the understanding of “intelligent Earth”deepening in everyone’s heart, the combination of intelligence and tourism has become the focus of researches. Today, tourism towns are booming in China, which gradually become new growth point of economy and new highlight of urban and rural overall development. This paper discusses tourism town construction with AI technology, analyses problems and shortcomings in tourism town Intelligence construction under present circumstance of smart tourism development and purposes ways and strategies to construct smart towns.
Design of Big Data Platform for Automatic Production Line of Handicraft Structure
Authors: Zhang Yangzhi 
Published: July 2020

Abstract
The automation production line of handicraft structural parts are taken as the research object in this paper, and big data platform is constructed through data modeling, data collection, data analysis and data visualization technologies, including data perception layer, communication layer, storage layer and analysis and display layer. The data acquisition layer obtains the multi-source heterogeneous information source at the bottom of the handicraft processing workshop, transmits it to the big data platform based on the OPC UA protocol for the data analysis of equipment status, production efficiency, product quality and other data, and displays the results through the visualization technology in real time to realize the real-time dynamic control of the handicraft processing process.
Research on Image Visual Information Coordinate Transformation Model Algorithm
Authors: Yuan Liping 
Published: July 2020

Abstract
80% of the information obtained by human beings comes from vision, using pictures and videos as information carriers, and the information obtained from them is called visual intelligence. Visual intelligence analysis refers to extracting the size, distance, speed and other parameter information of the target object from the picture, video. In real life, some measuring tools can be used to get the size, distance and speed of the object Equal parameter information, but only through the picture is not directly available Arbitrary The actual distance between the two points needs to establish a transformation model between the plane coordinate system of the image and the actual coordinate system of the image. The mapping between the actual coordinate system and the phase plane coordinate system is established, the mapping relationship between the pixel plane and the pavement coordinate plane and the imaging model of the monocular camera are established. The vanishing point algorithm is used to calculate the distance from the focus to the center of light and the angle between the optical axis and the ground To achieve Based on the picture Picture actual distance between the target objects to facilitate the intelligence analysis of various picture information.
An Automated Recognition Model for Sensitive Information
Authors: Guo Dongdan , Sun Hao , Zhu Tao , Cai Chang 
Published: July 2020

Abstract
Civil aviation business system carries a lot of passenger information. How to strengthen the management and use of civil aviation passenger information has become an important issue for the civil aviation industry. For the sensitive passenger information with huge data type and quantity, it is extremely inefficient to comb and analyze it manually alone. In this paper, we establish an automatic sensitive information identification model to effectively identify the passenger sensitive information in structured and unstructured files, improve the identification efficiency of sensitive information in civil aviation business system and the ability of data security management.
SINR-Based Time Domain Synthesis Algorithm for Radar
Authors: Li Shumin , Wang Bin , Qu Shihan , Liu Wei , Xin Fengming 
Published: July 2020

Abstract
For optimal radar waveform design and multi-target recognition in cognitive radar, a time-domain synthetic algorithm based on the water-filling algorithm is proposed. We consider the energy spectrum distribution of the synthesized signal based on the signal to interference plus noise ratio (SINR) in the presence of clutter. Simulation results show that after adding phase information, the time-domain synthesis algorithm based on SINR can obtain more target information than the general water-filling algorithm.
Design of Dual-channel HD Audio and Video Recording and Playback Equipment Based on TMS320DM8168
Authors: Zeng Fanchang , Hu Jingying , Zhao Dewei , Zhu Xiaowei 
Published: July 2020

Abstract
In order to meet the needs of dual-channel high-resolution audio and video recording, storage, and playback, as well as important control scenarios such as shipboard, vehicle, and airborne, the need for long-term capture and recording of terminal screen information is convenient for post-event technical analysis, Service quality assessment, exercise deduction, and operation accident responsibility identification. Researched the high-performance DaVinci series chip TMS320DM8168 launched by TI, designed and implemented a record playback device that supports dual-channel high-definition video, using the compression algorithm of the H.264 encoding standard to achieve compression and storage of video data, Use advanced and mature technology, follow the generalized, modular and serial design ideas to ensure better applicability and higher reliability. After the design was completed, the functions of video capture, compression encoding and video playback were verified, and the performance and stability were tested. The delay of video capture and display is within 40ms, The equipment can support high-definition single-channel or dual-channel video input, and realize two channels video information is compressed and stored, while the video decompression is stable, the playback picture is clear, and there is no jitter. The system functions and performance reach the expected goals.
Solving Power System Economic Dispatch Problem Based on Genetic Algorithm
Authors: Ren Yaming 
Published: July 2020

Abstract
With the rapid development of the world economy, the demand for power load is also growing rapidly. The power system economic dispatch problem studied in this paper is to reduce the fuel cost of generator units on the premise of satisfying some series of constraints of power system. In this paper, genetic algorithm is adopted as the solution strategy for power system economic dispatch problem, and the penalty function is used to deal with the equality constraint condition in the power system economic dispatch problem. Finally, we use the genetic algorithm to solve the IEEE-9 notes power system economic dispatch problem and give the corresponding simulation results. The simulation results show that the genetic algorithm can solve the power system economic dispatch problem effectively.
Research on the Development of Smart Rural Tourism in Shandong Province in the Era of Internet
Authors: Wang Ainiao 
Published: July 2020

Abstract
In the era of Internet with the rapid development of modern information technology, the cross-border integration of Internet and industry become a general trend, and smart tourism and smart rural tourism in China are born at the right moment. This paper analyzes the existing problems in the development of smart rural tourism in Shandong Province, puts forward four approaches to accelerate the construction of the basic guarantee system of smart rural tourism, construct the smart rural tourism service system and smart rural tourism marketing system, and strengthen the cultivation of smart rural tourism talents in Shandong Province, carries out the intelligent communication of rural tourism information in Shandong Province, promotes the demand and supply of tourists and rural tourism, and realizes the transformation and upgrading and smart development of rural tourism in Shandong Province.
Research on Management of Digital Library Based on Information Platform
Authors: Wang Qingjie , Chen Xuegang , Duan Sheng , Wang Luda , Fan Hongbin 
Published: July 2020

Abstract
How to improve efficiency and service level of digital library by means of computer technology is becoming an urgent problem in higher education. In this context, this paper is developed a new set of digital library management information system. This paper is studied structure of digital library, and we use case modeling to analysis Web platform module, database module, further build the overall system architecture, design main database table. In the process of implementation, database connection is configured, and we do a lot of tests for Web system platform module and reader-discuss-community module. Since the system is online, the website has maintained a good number of visits, and is welcomed by many teachers and students.
The Design and Development of Student Electronic Homework Management System
Authors: Cheng Yun , Liang Fenglin , Wang Yanli , Liang Xiumei , Chen Xue , Tian Yuanyuan 
Published: July 2020

Abstract
With the continuous development of information technology, computers and networks have been deeply integrated into the basic process of teaching and learning. In order to solve the basic problems of the traditional homework management mode, on the basis of demand analysis, this paper designs and develops a student electronic homework management system, which provides teachers and students with a convenient and efficient electronic homework online management platform. The system adopts a three-tier architecture system of B/S mode, with clear navigation, convenient use, high operating efficiency, and strong security. It implements user management, course management, job management, announcement management, link management, communication management, system management, etc. The function has solved the collection, management, review, communication and other problems of students’ electronic homework, and can effectively improve the efficiency of electronic homework management in the teaching and learning process.
Prediction of Fire Spread Based on Geographical Cellular Automata
Authors: Li Juan , Zhang Xiaohua , Li Yunfeng , Yao Liqiang 
Published: July 2020

Abstract
China is a country with frequent forest fires. Forest fires not only damage the forest ecosystem, cause the loss of forest resources, but also threaten the safety of people’s lives and property. If the spread trend of forest fire can be predicted quickly and accurately after the fire, it will be of great significance and role to put out the fire and reduce the loss and casualties. In this study, based on the in-depth comparison of domestic and foreign commonly used forest fire spread models and related algorithms, the geographic cellular automata is selected as the diffusion algorithm, combined with the revised Wang Zhengfei fire spread model, and the host development method is adopted to achieve the forest fire spread prediction. Through the comparative analysis of the prediction results in the actual cases, the error is within the acceptable range, achieving the expected effect, meeting the requirements of real-time and efficient simulation of forest fire spread, and providing reliable decision support for the management.
Analysis of Privilege Escalation Based on Hierarchical RBAC Model
Authors: Ma Li , Yan Yongjie , Jiang Huowen , Zhou Yanjie 
Published: July 2020

Abstract
As access control policies become more and more complex, the detection of access control vulnerabilities becomes more important. Previous research efforts have concentrated on access control vulnerabilities due to programming errors, while the privilege escalation caused by logic errors or abuse of privileges has seldom attracted researchers’ attention, which is also a kind of access control vulnerabilities. To investigate the property of privilege escalation, hierarchical RBAC model is used to describe complex relations between different roles that are represented by a directed role graph. Permissions are divided into multiple categories according to the inheritance of permissions in the role hierarchy. Three types of vulnerabilities, Upward Privilege Escalation, Downward Privilege Escalation and Horizonal Privilege Escalation, are defined and decided theorically based on the inheritance relations between roles in a role graph. Besides the three type, another type of privilege escalation that is not related to the hierarchy of roles is also studied. Finally, the decision theorems of three vulnerabilities are used to optimize the access control decision algorithm.
Research and Implementation of Network Public Opinion Rrediction System
Authors: Chen Xuegang , Gao Shouping , Duan Sheng , Wang Luda 
Published: July 2020

Abstract
The Internet has become a distribution center of ideological and cultural information and an amplifier of public opinion. To dig, analyze and study hot public opinions on the Internet is an important means to fully understand what netizens are thinking and doing. This paper analyzes the function of public opinion system, and introduces the key technology to realize the prediction of network public opinion, which can well realize the prediction function of public opinion.
Exploiting Gabor Feature Extraction Method for Chinese Character Writing Quality Evaluation
Authors: Wang Zhixiao , Yan Wenyao , Guo Mingtao , Zhang Jiulong 
Published: July 2020

Abstract
The automatic evaluation of Chinese character writing quality has a wide application prospect. Most of the existing evaluation methods of Chinese character writing quality are based on radical segmentation and feature judgment, which require the high accuracy of Chinese character segmentation. However, there are many problems in the real handwriting, such as continuous writing, uneven strength of writing, personalized writing style and so on, which lead to the difficulty of segmentation in the ordinary handwriting. To solve the above problems, we propose an effective method based on image texture where the uniformity of writing lines and writing style is taken as an effective criterion. In our method, Gabor transform is used to extract the image features of writing samples, and finally the statistical learning method of support vector machine is used to effectively evaluate the writing quality. Experiments on multiple real datasets including CHAED show that our method is effective and accurate. The advantage of this method is that it does not need to segment fonts, and the cost of global feature extraction is small.
Channel Allocation Scheme for Wireless Sensor Networks Based on Graphical Topology Information
Authors: Li Zhengping , Wei Qimin , Chen Hong 
Published: July 2020

Abstract
Wireless sensor network (WSN) is a distributed sensor network. The main research direction of wireless sensor network is the distribution method of its channel. With the development of information technology, the contradiction that between scarce wireless resources and high-density AP points will adversely affect people’s daily life. In this paper, we design a heuristic algorithm based on the channel assignment method by comparing the similarity of the network graphic topology. By calculating the pre-allocation scheme, the optimal throughput of the new topology is compared with the optimal throughput of the genetic algorithm to verify the superiority in the new algorithm. The network model is constructed by three graphical methods: scatter plot, density map and thermal graph. Finally determine the heat map-based channel allocation algorithm as the optimal solution.
Research and Application on Microservices Architecture in Civil Affairs Informatization
Authors: Tao Liang , Fan Yida , Zhang Tong , Zhao Chao , Yang Tianrong 
Published: July 2020

Abstract
With the development of information technology, microservices have been applied to more and more industries. Firstly, we introduce microservices and microservices architecture, analyse the main problem of civil affairs informatization, and explain the composition of microservices architecture. Secondly, we give the key technology of microservices which include abstract methods of microservices, microservices process management and the schedule of microservices workflow. Finally, we talk about the situation of civil affairs applications for using microservices architecture and give the conclusion.
Performance Analysis of Intelligent Reflecting Surface in Multi-user MIMO Systems
Authors: Liu Shaobo , Xiao Limin , Zhao Ming , Xu Xibin , Li Yunzhou 
Published: July 2020

Abstract
Intelligent Reflecting Surface (IRS) is a revolutionary technology which is able to improve the performance of wireless data transmission system. Specially, large numbers of small reflecting unit are jointly adjusted to reconfigure the wireless signal transmitting environment. In this paper, we study the use of IRS in a multi-user MIMO system where IRS is deployed to assist the data transmission in both uplink and downlink phases. We first present an overview of the technology of intelligent surfaces, including its fundamental principles and practical applications. Then we derive the signal model of IRS aided multi-user MIMO system and provide data transmission schemes. Finally, numerical results are demonstrated to show the superb signal enhancement with the use of intelligent surfaces in wireless system.
Single Image De-raining Based on a Novel Enhanced Attentive Generative Adversarial Network
Authors: Zhou Haochen , Wei Qin 
Published: July 2020

Abstract
With rapid development of deep learning in artificial intelligence and computer vision, generative adversarial network plays an important role in single image de-raining. Attentive generative adversarial network (AttGAN) has problems about complicated network structure and distortion of background color. Considering the relative complex background in the real image with raindrops, a new single image de-raining algorithm based on enhanced attentive generative adversarial network (EAttGAN) is proposed to retain the original background of the blurred image. In order to restore more complete background and accelerate network training, a generator enhanced by residual scaling and a Markovian discriminator are fused effectively in the network. Compared with AttGAN, experimental results indicate that EAttGAN can not only achieve higher sharpness of a single image, but also take less time in the training process.
Research and Implementation of Time Synchronization Mechanism in Simulation Architecture
Authors: Wang Kunfu , Mao Wanfeng , Feng Wei 
Published: July 2020

Abstract
Modern warfare is changing from independent mode to cooperative mode, and time synchronization is the basis of cooperative operation. In this paper, the NTP based time service system (st simulation system) is designed and developed under the environment of windows QT 4.8.5 with the object-oriented thinking of C + +, the time synchronization mechanism in simulation architecture is described, including the design of time synchronization algorithm of ST simulation system and the design of time service flow between ST simulation system and other simulation nodes in the architecture, it can effectively improve the time accuracy and accuracy in the simulation architecture.
A Device Data EvaluationSystemBased on Hierarchical Weighting Algorithm
Authors: Gu Yeqing , Yang Jian , Wang Zhiyuan 
Published: July 2020

Abstract
The more applications are supported by a dccloud, the higher quality are required on the fundamental data. This paper developed an evaluation system based on hierarchical weighting decision-making to evaluate the data quality of devices on dccloud. This evaluation system could also evaluate the satisfaction of applications on various devices, and the overall relationship among devices to improve data quality of device models.
RETRACTED: Research on Informatization Development of Minshuku in the Background of Big Data Era
Authors: Wu Yinghui 
Published: July 2020

Abstract
With the popularization of intelligent mobile devices and the rise of tourism Internet platforms, tourism consumer behavior also shows strong information characteristics. The booming tourism industry has entered the era of big data. Under the trend of tourism big data, minshuku has become a noticeable growth point. This paper analyzes the characteristics of minshuku informatization under the background of big data era and the current situation of minshuku informatization development, and puts forward some countermeasures such as building big data, informatization system, efficiently utilizing multiple tourism Internet platforms, and combining big data analysis on the basis of the two, creating minshuku characteristic brands, etc. Fully mining big data can provide more comprehensive and accurate decision support for the future development of minshuku.
Research on Automatic Programming of Cross Stitch Equipment Based on Machine Vision Technology
Authors: Guo Dalu , Liu Feng , Zhou Quan , Hou Xujie 
Published: July 2020

Abstract
In the past, cross-stitch was mainly mainly by manual embroidery. It has a large workload, long time-consuming and easy to make mistakes. With the development of artificial intelligence and image recognition in recent years, the application scene is very wide.
Network Layer Security Detection Model of Internet of Things Based on Immune System
Authors: Yang Bo 
Published: July 2020

Abstract
The traditional network security detection model use attack samples of known types to train the security detection model offline. Although it has a high detection rate for the known attack types, it cannot identify the new attack types on the network layer. At present, detection system has disadvantages of slow speed of system construction and high cost of model update. Facing increasingly expanding network and endless attacks, the detection system lacks self-adaptability and expansibility. In this paper, the integrated use of immunology theory and complex adaptive system theory and computational experiment technology, based on Internet network layer security detection model of the immune system, existing Internet network layer security, the new type of attack occurred in the process of on-line detection of immune learning, realize the dynamic extension of network security detection model, and through calculating experiment and example analysis verify the scientific nature and feasibility of the model.
Research on Intelligent Identification of Ore Minerals Based on CART Algorithm
Authors: Shen Ying , Zhao Yongyi 
Published: July 2020

Abstract
The identification of ores and minerals is essential in geology, and the use of data mining to identify and classify ores in the era of widespread use of big data will help its development more effectively. This article takes the pyrite simulation data as an example and based on the ore mineral color, hardness, relative density, and electrical conductivity as the characteristic values. It is built in the CHDC model to use the CART algorithm to classify and identify the pyrite ore. After a lot of training on the data, the recognition model tends to be stable. The probability of correct discrimination in the CHDC model based on the CART algorithm’s confusion matrix is 93.8%. However, due to the complex composition of ore minerals, the component analysis cannot be performed in a short time, so the component characteristic value is not taken. The ore returned by the sensor is different in color under different light sources, which affects the accuracy of judgment. Using the CART algorithm in the CHDC model can judge the identification of the ore, thereby completing the intelligent identification of the ore mineral.