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International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science , Software Engineering


eISSN: 2470-8038



Quadrotor Formation Control Method Based on Graph and Consistency Theory
Advanced Dynamic Autonomous Knowledge Learning Method for Distance Learning

VOLUME 5 , ISSUE 2 (Jul 2020) - List of articles

The Research of Tai’an Big Data Ecological Status Based on IPV9

Gao Yalin/ Ma Yihua

Abstract In recent years, medical problems have always been a topic of concern. With the improvement of people’s life quality, the attention to diseases has also reached a new height. It has also become a livelihood issue for the whole nation to enjoy low-cost and high-quality medical services. This paper researches the current situation of China’s medical treatment, summarizes the existing problems in China’s medical treatment, analyzes the development situation and opportunities of China’s big(..)

DOI: 10.21307/ijanmc-2020-011

Research and Implementation of Future Network Router

Sun Huai/ Wang Zhongsheng

Abstract This paper summarizes the process and characteristics of IPV9, and introduces the digital domain name system, route management and security. The tunneling and dual protocol stack technologies are described. Both the transition from IPv4 to IPV9 and from IPV9 to IPv4 will be based on mature network conversion services that support protocol compatibility. The IPV9 router is currently available in two models, 100-megabit and gigabit. Both routers have good ability to meet the network needs(..)

DOI: 10.21307/ijanmc-2020-012

Image Inpainting Research Based on Deep Learning

Zhao Li/ Zhao Ruixia

Abstract With the rapid development of computer technology, image inpainting has become a research hotspot in the field of deep learning. Image inpainting belongs to the intersection of computer vision and computer graphics, and is an image processing technology between image editing and image generation. The proposal of generative adversarial network effectively improves the problems of poor image inpainting effect and large difference between the inpainting image and the target image, and prom(..)

DOI: 10.21307/ijanmc-2020-013

Research on the Application of Convolutional Neural Networks in the Image Recognition

Gao Zhiyu/ Liu Bailin/ Gu Hongxian/ Mu Jing

Abstract Over the past few years, benefits from the strong feature extraction advantages of Convolutional Neural Networks (CNN)themselves and the efforts and applicationby researchers making, research work on CNN in the field of image recognition has yielded many results and achieved the best performance in classification and regression tasks. This paper focuses on the improvement and application history ofCNNand summarizes the direction of improvement and optimization of CNN in recent years fro(..)

DOI: 10.21307/ijanmc-2020-014

Design and Research of Security System in University Laboratory

Ding Li/ Shi Xuerong/ Zhang Dujuan/ Su Yulei

Abstract The laboratory is an important place for teaching and scientific research in major universities, and plays an important role in the work of universities. The resources equipped by the laboratory occupy a large part of the resources of the entire school. The laboratory security system plays an important role in ensuring the safety of the laboratory and preventing the loss of equipment. Today’s laboratory security systems have factors such as low automation, insufficient management, and i(..)

DOI: 10.21307/ijanmc-2020-015

Research and Implementation of Future Network IPV9

Liu Zhang/ Wang Yubian

Abstract Nowadays, IPv4 has been difficult to meet the needs of the Internet in terms of performance, address space, security, etc. In order to solve the relevant needs of IPv4, protocols such as IPv6 and IPV9 have been born. This article introduces the current status and characteristics of IPv4 and IPv6, compares with IPV9, summarizes the relevant characteristics of IPV9, and introduces the production process of IPV9, its protocol composition, system architecture and related application introdu(..)

DOI: 10.21307/ijanmc-2020-016

A Study of Edge Computing Offloading Based on Security

Luo Pei/ Lei Juchao

Abstract With the widespread use of IOT scenario and the development of mobile network technology, the access to many devices at the edge of the network has generated an exponential increase in the volume of data, bringing higher than ever before the demand for data transmission bandwidth, traditional centralized cloud computing can no longer meet the demand, the need to adopt edge computing distributed collaborative approach to data processing. In this paper, we study a mobile edge computing mo(..)

DOI: 10.21307/ijanmc-2020-017

Application Research of Crawler and Data Analysis Based on Python

Wu Hejing/ Liu Fang/ Zhao Long/ Shao Yabin/ Cui Ran

Abstract Combined with the actual situation, this paper explores how to develop a crawler method based on the specific framework for the complete interface of steam manufacturers and stores, which should be able to automatically and efficiently crawl the data of specific targets, analyze the dynamic pages, and complete the data cleaning, downloading, saving and other operations, explore the methods of general data analysis, and Analyze the downloaded data, extract useful information from it, ana(..)

DOI: 10.21307/ijanmc-2020-018

Design of Electric Power Line Drawing Algorithm

Sun Pengzhan/ Lei Juchao

Abstract At present, the drawing of power lines is still in the state of semi-manual design, mainly completed by AutoCAD, which not only consumes human resources, but also has low efficiency. Therefore, this paper designs an automatic drawing software for power lines. It integrates drawing and data management. Based on the basic information of power lines, this software imports and automatically converts the basic power data (latitude and longitude data) containing GPS/BeidDou positioning inform(..)

DOI: 10.21307/ijanmc-2020-019

Improved Faster R-CNN Algorithm for Sea Object Detection Under Complex Sea Conditions

Liu Yabin/ Yu Jun/ Hu Zhiyi

Abstract In In the process of sea surface object detection by remote sensing images, this paper proposes an improved Faster R-CNN sea surface object detection algorithm for the problems of low accuracy and long detection time using deep neural networks. Firstly, the size of the bounding box in the region proposal networks is analyzed, and then the object in the image is clustered using the K-Means algorithm, and the clustering results are input into region proposal networks, thereby realizing th(..)

DOI: 10.21307/ijanmc-2020-020

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