<abstract xmlns="http://www.w3.org/1999/xhtml">Aiming at the weakness of CNN that is not sensitive to the changes of relative position and angle, a method of digital handwritten recognition based on deep capsule network is researched. The capsule network represents multiple attributes of an entity through a group of capsules composed of neurons, which effectively preserves the information about the position and posture of the entity. Dynamic routing algorithm makes the information interaction between capsules more clearly, and can determine the pose of the entity more accurately. While solving the shortcomings of convolutional neural networks, it also integrates the advantages of CNN and considers the relative position of it’s lack, so that the recognition effect is improved. The design implements a deep capsule network, reduces the amount of trainable parameters by changing the size of the convolution kernel, expands on the original network structure, adds a convolution after the convolution layer, and a process of dynamic routing on the main dynamic routing is added, and the number of iterations is changed for experimentation, which makes the accuracy of network recognition higher on the MNIST data set.</abstract>

Deep Capsule Network Handwritten Digit Recognition

<abstract xmlns="http://www.w3.org/1999/xhtml">Usability is critically important in developing tourism websites because visitors expect tourism websites to be attractive, interactive and informative. The main aim of this paper is to analyze and examine the content of tourism websites. A case study has been performed on a tourism website to understand the usability gaps of tourism websites development process for better website usability and user satisfaction. The paper discusses factors that are success combinations of features that a tourism websites must have. Considering the success factors10 tourism websites were analyzed. The paper presented a report on the analyzed data and give suggestions for making tourism websites more efficient.</abstract>

Improve Usability of Tourism Websites Based on Agile Strategies

<abstract xmlns="http://www.w3.org/1999/xhtml">Prognosis and Health Management (PHM) is the important technical means to achieve condition based maintenance(CBM), and Health assessment is the important part of the PHM system. PHM is widely used in aerospace area, But it lacks application in ground field, In order to improve the accuracy of self-propelled gun system health assessment, taking a certain self-propelled gun system as the object, in this paper, takes self-propelled gun as an example, divide it’s health status into 5 levels, for equipment that fails the test, it can be directly determined to be in a fault state; for equipment that has passed the test, and come up with a model of health assessment that based on D-S evidence theory, first, Select the health indicators which can comprehensively represent the status of propelled artillery, and use the normalized quantization method to Process the data. Then, employ the D-S evidence theory to make the integrated decision on the membership of each health parameter after treatment, finally, determine the ultimately health status of self-propelled artillery, the rationality of the method is verified by experiments.</abstract>

Health Assessment Based on D-S Evidence Theory of Equipment

<abstract xmlns="http://www.w3.org/1999/xhtml">Objective image quality assessment (IQA) aims to develop computational models to predict the perceptual image quality consistent with subjective evaluations. As image information is presented by the change in intensity values in the spatial domain, the gradient, as a basic tool for measuring the change, is widely used in IQA models. However, does the change measured by the gradient actually correspond to the change perceived by the human visual system (HVS)? To explore this issue, in this paper, we analyze how the ability of the HVS to perceive changes is affected by the upper threshold, and we propose an IQA index based on an adaptively truncating gradient. Specifically, the upper threshold at each pixel in an image is adaptively determined according to the image content, and the adaptively truncating gradient is obtained by retaining the part of the gradient magnitude that is less than the upper threshold and truncating the part that is greater than the upper threshold. Then, the distorted image quality is calculated by comparing the similarity of the adaptively truncating gradient between a reference image and the distorted image. Experimental results on six benchmark databases demonstrate that the proposed index correlates well with human evaluations.</abstract>

Adaptively Truncating Gradient for Image Quality Assessment

<abstract xmlns="http://www.w3.org/1999/xhtml">This paper introduces the core technology of decimal network digital domain name and IPV9 protocol family, and analyzes the technical characteristics of decimal network. Three kinds of common network transition techniques are listed, and various problems of decimal network application are discussed.</abstract>

Discussion on Decimal Network Based on IPV9

<abstract xmlns="http://www.w3.org/1999/xhtml">The development of the Internet and the emergence of large-scale systems promote the rapid development of society, and bring a lot of convenience to people. Then comes the problem of network security, privacy theft, malicious attacks and other illegal acts still exist, a qualified software system will log the key operation behavior of the software. Therefore, log analysis has become an important means of anomaly detection. Based on log analysis, this paper consulted the related literature on anomaly detection, elaborated the research status of anomaly detection based on log analysis from the aspects of template matching, rule self-generation and outlier analysis, and analyzed the challenges faced by anomaly detection based on log analysis.</abstract>

Review of Anomaly Detection Based on Log Analysis

<abstract xmlns="http://www.w3.org/1999/xhtml">Purpose: with the development of the computer system, there is a higher request to reduce the failure times of Translation Look—aside Buffer and relieve the failure influence, normal solution is deal with TLB failure by software or hardware, it find the page table and then implement the index operation to locate the page want. Method: In order to satisfy the needs of software management method for mapping speed from virtual address to physical address and to expand the size of TLB, our team design a software management method based on balanced binary search tree. Page management is implemented in software management, TLB is managed by operating system based on abstract model, and MMU (memory management unit) is no longer used Unit, our team build a balanced binary tree to search TLB. Result: Binary search tree has the advantage of pruning in the interval search problem under the balanced state. Therefore, searching TLB by this method is conducive to the expansion of TLB capacity, making space for cache and other performance improvement designs on chip and reducing costs. However, the search speed is reduced and some time is sacrificed to free up CPU space. Conclusion: This method can free up CPU design space, also can expand more size of TLB and reduce the cost, its optimization algorithm is worthy of further research.</abstract>

Software TLB Management Method Based on Balanced Binary Tree

<abstract xmlns="http://www.w3.org/1999/xhtml">2019 Novel Coronavirus (COVID-19) has brought immeasurable losses and huge impact to the world. For human health, many Centres for Disease Control(CDC) in various countries around the world are actively collecting data and doing a good job in virus prevention and control. The real-time release of the epidemic situation, with analysis and prediction, is a very effective method to combat the epidemic. By studying the situation of epidemic data, based on Jupyter Notebook, this paper gives the visual analysis process of COVID-19 epidemic data, and carries out specific analysis and implementation. And then it estimates the coronavirus converges roughly using sigmoid fitting. Although the sigmoid fitting tend to underestimate the curve, its actual value tend to be more than sigmoid curve estimation. The proposed data visualization analysis method could effectively display the status of the COVID-19 epidemic situation, hoping to help control and reduce the impact of the COVID-19 epidemic.</abstract>

Data Visualization Analysis of COVID-19 Epidemic Situation

<abstract xmlns="http://www.w3.org/1999/xhtml">In view of the uncontrollable process of traditional GAN generating remote sensing target images, the shortcomings of generated samples are similar, and lack diversity. This paper proposes a generative confrontation network model based on background conditions. First, the computer vision attention mechanism is introduced into the generative confrontation network. Choose a learning target model so that the GAN network only learns the target model during training, and ignores other non-target information. Reduce the dependence on the number of samples in the GAN training process; secondly, use the U-net network as a generator to restore other non-target information when generating the remote sensing image of the target as much as possible; again, distinguish by different colors of the conditional mask The category of the generated target; at the same time, the L1 regularization loss is added to the loss term of the generator model, and finally, the remote sensing target image is generated. The experimental results show that the peak signal-to-noise ratio (PSNR) of the remote sensing image generation algorithm proposed in this paper reached 18.512, and the structural similarity (SSIM) reached 88.47%, which is better than the comparison test model where the generator is an ordinary autoencoder.</abstract>

Conditional GAN-based Remote Sensing Target Image Generation Method

<abstract xmlns="http://www.w3.org/1999/xhtml">Network security is a comprehensive discipline involving computer science, network technology, communication technology, cryptography, information security technology, applied mathematics, number theory, information theory and other disciplines. Network security is to protect the hardware, software and data in the network system from accidental or malicious damage, change, and disclosure. The system runs continuously and reliably and normally, and network services are not interrupted. Although network security in the future market prospect is very good, but the Internet structural defects are known, because in the past nearly 20 years of rapid development of Internet technology, the pioneers of the IT industry seems to be technology focuses on the network flexibility and ignore the security of the network, so, in the site after the loss of a large number of network attacks, network security technology becomes emergent vacuum in the information technology, for the maintenance of computer network system security maintenance, inspection and repair network vulnerabilities, virus protection, organized by the national high strength against network has serious threat to all countries in the world, In such an environment, the core technology, key infrastructure is the only rely on independent innovation, create a new network system, with the new architecture, a new design, new technology, new resources, new standard and new application to open up a new network space, the building has an independent sovereign and independent control system of network security, it is imperative to accelerate the future network development.</abstract>

Imperative to Build Network Security System and Speed Up the Future Network Construction

AHEAD OF PRINT

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International Journal of Advanced Network, Monitoring and Controls

The International Journal of Advanced Network, Monitoring and Controls (ISSN:2470-8038）is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills, especially in the fields of advanced network, monitoring, sensors and controls. It is also the Journal's objective to promote engineering and technology education.  All papers submitted to the Journal will be blind peer-reviewed. Every paper is reviewed by two Professors and blind. All reviewers are independent of the editorial board. Only original articles will be published.  Open Access Policy  This journal provides immediate open access to its content under the Creative Commons CC BY-NC-ND 4.0 license on the principle that making research freely available to the public supports a greater global exchange of knowledge. Under the CC BY-NC-ND 4.0 license users are free to share the work (copy and redistribute the material in any medium or format), if the contribution is properly attributed and used for non-commercial purposes. The material published in the journal may not be altered or build upon.  Rejection rate: 50%  All submitted papers will be reviewed by more than two expert referees in their relevancy to the call for paper. After refereeing process, all accepted papers will be published and the full text is online available.   The acceptance process is as follows:   First of all, check the paper format and theme, and then entering the technical review process according to the quality standards.   The paper will be submitted to two reviewers for review according to the content of the paper; two blind reviewers will make comments and revisions to the paper, and then give an acceptance or rejection.   ABOUT SOCIETY  Xi'an Technological University has over 20,000 students and is authorized by Chinese government to award Ph.D. degrees. The State and Provincial Joint Engineering Laboratory of Advanced Network and Monitoring Control is located within the School of Computer Science and Engineering, Xi'an Technological University. The Lab.is mainly focused on researches in theoretical researches and practical applications of computing technologies, advanced networks, system simulations, artificial intelligence, automated monitoring and controls.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 