<abstract xmlns="http://www.w3.org/1999/xhtml">The price of commercial housing is related to the process of urbanization in China and the living standard of residents, so the prediction of the price of commercial housing is very important. A major difficulty in predicting regression problems is how to handle different attribute types and fuse them. This paper proposes a house price prediction model based on multi-dimensional data fusion and a fully connected neural network. The model building steps are: First, normalize the data involved in the sample; then, interpolate the normalized data to increase the data density; subsequently, the normalized sample data is converted into a pixel matrix; finally, a fully connected neural network model is established from the pixel matrix to the price of the commercial house. After the neural network model has been established, the price of house can be obtained by entering the attributes of the house into the neural network model.</abstract>

Research on House Price Prediction Based on Multi-Dimensional Data Fusion

<abstract xmlns="http://www.w3.org/1999/xhtml">Router is the basic component of the Internet. In this scheme, identification technology is used for the first time in router design to provide address authenticity proof to prevent illegal access. Provide proof of connection freshness to prevent reissue attacks; the first use of software identification technology, to provide the credibility of the router operating environment, to prevent Trojan and other malicious software intrusion. The design also provides densification function to ensure privacy. This is a key security requirement for the next generation of Internet protocols. This design method will be combined with the new addressing technology of geographical location addressing to construct the next generation of Internet routers. The technology is also used in the design of new switches in telecommunications networks.</abstract>

Research on Real-Name Routing and Trusted Connection Based on IPV9 and CPK-card

<abstract xmlns="http://www.w3.org/1999/xhtml">Tobacco industry is a relatively early industry in China&amp;apos; information industry, so there are many problems, such as the lack of overall planning, the wide application system, but the low degree of integration of information resources, and the serious problem of “information island”. In order to solve how to establish an efficient and flexible way of information interaction within the enterprise, an enterprise application integration platform based on SOA architecture is proposed. The platform takes ESB as the core, transforms enterprise information integration into a new way conforming to SOA architecture, and establishes the idea of basic data management, so as to achieve the purpose of optimizing the overall information resources of the enterprise</abstract>

Research on Enterprise Application Integration Platform Based on SOA Architecture

<abstract xmlns="http://www.w3.org/1999/xhtml">The common point cloud registration algorithms are usually divided into initial registration and precise registration. In this paper, SAC-IA algorithm, which is commonly used in PCL, is selected for initial registration, and the traditional ICP algorithm is used for accurate registration. Three different feature descriptors (3D shape context, Point Feature Histograms, Fast Point Feature Histograms) are used to realize SAC-IA algorithm and ICP precise registration algorithm. During the implementation of the algorithm, the registration time and registration error of point cloud are calculated; according to the experimental results, the registration time and registration error of SAC-IA algorithm and ICP algorithm based on three different descriptors are compared. The results show that the registration algorithm based on 3D shape context has high accuracy, but the registration time is too long, which is not suitable for a large number of point cloud data; the registration algorithm based on fast point feature histograms has short registration time and good registration effect.</abstract>

Comparison of Several Different Registration Algorithms

<abstract xmlns="http://www.w3.org/1999/xhtml">IPv4 is the most widely used protocol on the Internet, and its address space is 232. In the early stage of the Internet, due to the underestimation of the development of Internet, IP resources were very limited. By 2010, there was no address that could be allocated. In order to solve the problem of insufficient addresses, the IETF designed the next generation IPv6 protocol to replace IPv4, IPv6 has 2128 addresses in theory, and however, only one-eighth of the addresses can actually be allocated to end users. At present, 128 barcodes are already having 128 bits, and it cannot be covered, so IPv6 have some considerable limitations. In 1998, Chinese researcher proposed IPV9. In order to distinguish from IPv4 and IPv6, the V in IPV9 is uppercase, not lowercase. The IPV9 includes three technologies: a new address coding design, a new addressing mechanism and a new address architecture design. These technologies constitute the core technology system at the bottom of the new generation IP network. The new network framework designed on this basis can form a network system that is connected and compatible with existing networks. IPV9 is not a simple upgrade of IPv4 or IPv6 and its address space is 10256 by default. The massive address can meet the needs of human activities about 750 years, this paper will introduce the characteristics of the future network, and comparison the system between the IPv4, IPv6 and IPV9, and lay a solid foundation for the subsequent development.</abstract>

Comparison Research on Future Network Between IPv4, IPv6 and IPV9

<abstract xmlns="http://www.w3.org/1999/xhtml">Blockchain establishes reliable trust among parties that do not know each other and achieves credible data sharing and point-to-point value transmission in an epoch-making way. The requirement of the availability of block chain network becomes more and more important due to the dynamic and changeable characteristics of block chain P2P network. Therefore, for the characteristics of block chain P2P network system, this paper constructs a availability model based on Markov stochastic process theory, analyzes the steady-state availability and instantaneous availability of the model, and finally carries out experimental verification through simulation, hoping to provide beneficial inspiration and guidance for future research on block chain network.</abstract>

Research on Blockchain Availability Modeling in P2P Network

<abstract xmlns="http://www.w3.org/1999/xhtml">Tunnel geological radar image has been widely used in tunnel engineering quality detection for its advantages of fast, nondestructive, continuous detection, real-time imaging, intuitive data processing and high detection accuracy. However, the traditional defect detection method, which is judged by surveyors visually, consumes energy. In order to detect the quality of tunnel engineering accurately and quickly, an improved method of void defect detection based on Faster RCNN (Regional Convolutional Neural Network) is proposed in depth learning. The image data of the tunnel geological radar is collected for annotation, which fills the blank of the defect data set in the tunnel engineering. Through the method of this paper proposed, the feature extraction is optimized to improve the performance of the detection model, and the detection accuracy of the model is verified by expert knowledge.</abstract>

Research on the Tunnel Geological Radar Image Flaw Detection Based on CNN

<abstract xmlns="http://www.w3.org/1999/xhtml">In order to solve the problem of the industrial application of Matrix Converter (MC), the Matrix Converter Motor System (MCMS) is proposed. The control strategies of MCMS are studied based on the control of MC and the motor. The effects of voltage vector and direct torque control are analyzed. The simulation result show the disadvantages of usual means can be conquered by new means and it can obtain more high accuracy and robustness. The dynamic and static performances of direct torque control based on it are better than that of conventional direct toque control. The new ameliorated control strategy is proposed.</abstract>

Research on Control Strategy of Matrix Converter Motor System

<abstract xmlns="http://www.w3.org/1999/xhtml">Since China’s public network got access to the Internet in 1994, the study, research and understanding of the Internet have been blindly superstitious to the United States for a long time, copying the rules and regulations of the United States, and the textbooks in the field of Internet and information are almost completely Americanized. For more than 20 years, we have not formed our own systematic and profound research and practical views on the Internet, most of which are based on the half understood, ignorant, and parrot-like knowledge and cognition instilled from the United States.Being controlled by others in ideology is even worse than in technology. At present, China’s understanding of the Internet is very superficial from the superior to inferior. We failed to firmly grasp the technology controlled by others and legal key points. We didn’t adhere to independent innovation, which resulted in that we were repeatedly passive or even long-term passiveness in cyberspace strategies and tactics.This paper will start from the history and technical characteristics of the emergence of the Internet, comprehensively discuss the problems that have existed since the emergence of the Internet more than 20 years ago, and reflect on the future development of the international network, making the Internet a truly open and shared international network.</abstract>

Review of Network Technology System from the Past, Present to the Future

<abstract xmlns="http://www.w3.org/1999/xhtml">3D point cloud segmentation is one of the key steps in point cloud processing, which is the technology and process of dividing the point cloud data set into several specific regions with unique properties and proposing interesting targets. It has important applications in medical image processing, industrial inspection, cultural relic’s identification and 3D visualization. Despite widespread use, point cloud segmentation still faces many challenges because of uneven sampling density, high redundancy, and lack explicit structure of point cloud data. The main goal of this paper is to analyse the most popular algorithms and methodologies to segment point clouds. To facilitate analysis and summary, according to the principle of segmentation we divide the 3D point cloud segmentation methods into edge-based methods, region-based methods, graph-based methods, model-based methods, and machine learning-based methods. Then analyze and discuss the advantages, disadvantages and application scenarios of these segmentation methods. For some algorithms the results of the segmentation and classification is shown. Finally, we outline the issues that need to be addressed and important future research directions.</abstract>

Review of 3D Point Cloud Data Segmentation Methods

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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. 