<abstract xmlns="http://www.w3.org/1999/xhtml">

Aiming at the issues of random delay and delay uncertainty in both the before channel and feedback channel for network control system, the root causes of random delay influence closed-loop control system by case is analysis, and the predictive control method based on neural network to solve the feasibility of existence network random delay in control system closed-loop control has provided. Simulation results show that the method can reflect and predict the delay characteristics of between measurement data represents the network path, and can effectively substitute for the actual network in the design of closed-loop control system based on Internet to research; the method used fast and accurate can be used for online learning network model and forecast the network delay value, provides a new way to remote closed-loop control based on Internet.
</abstract>

Research of Forecasting Information Time Delays with Nenural Network in Telecontrol System

<abstract xmlns="http://www.w3.org/1999/xhtml">

Periocular recognition technology is a biometric recognition technology widely used in identity verification. Because of its high precision, high ease of use and high security, Periocular recognition has a broad application prospect and scientific research value. In order to solve the problem of angular rotation of eyes in practical application, this paper proposes a deep learning periocular recognition method based on multi-angle data augmentation. The method is to rotate the original data set from small angle to large angle, so that the amount of data is expanded to 7 times of the original, and the diversity of data is increased at the same time. The InceptionV3 network and MobileNetV2 lightweight network are used for experimental verification respectively, and good results are obtained from multi-angle tests, indicating that the proposed method can improve the generalization ability of the model and has good robustness.
</abstract>

Deep Periocular Recognition Method via Multi-Angle Data Augmentation

<abstract xmlns="http://www.w3.org/1999/xhtml">

Collision detection is mainly to judge whether there is intersection between virtual models, which means there is collision. Bounding box is one of the important methods of collision detection. It uses regular geometry with simple structure to replace the complex model to be detected. A simple point cloud model usually contains hundreds or thousands of polygons when meshed. When collision tests are performed directly on the geometry of two model objects, the calculation process is relatively complex. In order to reduce the computational cost, the bounding box test of the model was performed before the geometry intersection test. Only when the bounding box has a collision, can further accurate intersection detection be carried out. This paper mainly introduces the content and significance of the bounding box, and compares four kinds of common bounding boxes and their advantages and disadvantages as well as the application scenarios of the bounding box. Firstly, the content and significance of the bounding box are expounded. Secondly, it is analyzed according to different bounding boxes. Finally, the different bounding box algorithms are summarized, and the advantages and disadvantages of different bounding boxes and application scenarios are pointed out.
</abstract>

Review of Bounding Box Algorithm Based on 3D Point Cloud

<abstract xmlns="http://www.w3.org/1999/xhtml">

Smart phone services have become all encompassing in these modern life activities. These phones operate with batteries that provide the necessary electrical power. The batteries’ stored energy often got used up; and the conventional electrical power charging sources like public power supply, generating sets, solar devices among others are not only unreliable but most times totally unavailable in some villages and camp settlements. There was then the need to produce simple, inexpensive and easily accessible battery chargers for the phones. This paper therefore studies and analyzes the performance of a locally-made, off-grid and renewable energy power phone charger. The device output voltage, current and hence power has been tested at varying degrees of temperatures. Finally it was tested with different heat sources like, charcoals, Gas- burner, kerosene stove, wood stove, and Camp and Barbecue fires for heat source efficiencies. The results prove that charcoals and gas-burner heat sources are the most efficient heat source for operating the heat-smart- phone charger.
</abstract>

Performance Analysis of Heat-Based Smart Phone Charger

<abstract xmlns="http://www.w3.org/1999/xhtml">

As the world has entered the Internet era, more and more network operators have also developed one after another, which has been widely used in communities, schools, banks and other regions. Due to the uneven distribution of network providers in different regions, a certain network line is not running smoothly. In order to solve this problem, this paper puts forward a method that users can dynamically choose networks according to their preferences, and the problem can be solved by static routing and network address translation. At first, set the internal IP addresses of different users and the external IP addresses provided by internet providers on the ports on both sides of the user LAN router. During network address translation, a fixed one-to-one relationship established by the internal IP and the external IP is loaded into the routing table of the user LAN as a static route. Finally, users can actively and dynamically set the internal IP of the user LAN router in the router list in the user computer and realize the method that the user dynamically selects different interconnection networks.
</abstract>

Research on User Dynamic Selection Network Technology

<abstract xmlns="http://www.w3.org/1999/xhtml">

Point cloud is an important data format that can completely express scene information. In recent years, with the dramatic increase of polygon complexity of model, the advantage of point model becomes more and more obvious. The point-based computer graphics, which takes point cloud as the research object, has aroused the attention of more and more people, and has been widely used in many fields such as computer vision, automatic driving and robot. In this paper, the point cloud segmentation methods and research status were reviewed in detail, the representative algorithms of each type of methods were analyzed and introduced, and the basic ideas, advantages and disadvantages of each type of methods were summarized. Finally, the problems faced by the segmentation technology and the development direction of the future work are prospected.
</abstract>

A Review of Segmentation Technology Based on 3D Point Cloud

<abstract xmlns="http://www.w3.org/1999/xhtml">

In order to expedite the development of the control network, according to the newest fruition of the internet, the hardware and software of the system is designed. Since the resource of the sever in embedded remote control system is limited, an approach is presented which use CGI and XML technology to realize remote monitoring computer and embedded Web server for dynamic interaction. Combined with the basic requirements of embedded remote control system, the idea of component design is proposed, the major components of system functions are defined. According to the system functional requirement, the software is designed and realized. The practice prove, the scheme realize the remote control of the transmitter by the small cost. And the system is convenient and safe. The definite reference value is offered to the offspring complex remote control system.
</abstract>

The Design of Remote Control System Based on the Embedded Web Server

<abstract xmlns="http://www.w3.org/1999/xhtml">

The current Internet technology is IPv4 Protocol suite, and it is completely developed by the U.S. the IPv4 protocol address space is 232, and it has some shortcoming with the development of the Internet, and IPv6 Protocol suite proposed to expand the address of IPv4, but the two protocols are not compatible, which brings certain difficulties to the final application. The decimal network standard working group of Ministry of Industry Information Technology of China has researched about the future network for more than twenty years since 2001 and developed a whole set of decimal network system, and completed the future network IPV9 series. This paper introduces the basic technology of decimal network and its related applications. The practical application shows that the decimal network has realized the characteristics of “autonomous, controllable, high-speed and compatibility”.
</abstract>

Application Research of Decimal Network Technology

<abstract xmlns="http://www.w3.org/1999/xhtml">

Blind deblurring is a basic subject of computer vision and image processing. Motion image deblurring is divided into non blind deblurring and blind deblurring by whether to estimate the blur kernel. Blind deblurring is easy to produce motion artifacts because of the inaccurate estimation of the blur kernel. Non blind deblurring is the best choice for the current blurred image processing. The purpose of this paper is to further improve the definition of blurred image, restore the edge information of contour, and strengthen the repair of texture details. Based on the multi-scale convolution neural network, a multi-scale residual network is proposed, which can comprehensively extract image features, enhance image feature fusion, and constrain image generation by combining multi-scale loss function with anti loss function. The performance of the algorithm is evaluated by testing the peak signal to noise ratio (PSNR) structure similarity and restoration time of the generated image relative to the clear image. This algorithm improves the average PSNR on GOPRO testset, and reduces the recovery time accordingly. It can successfully recover the detail information lost due to motion blur. This algorithm has simple network structure, strong robustness and good restoration effect, and is suitable for dealing with various image degradation problems caused by motion blur.
</abstract>

Motion Blur Image Restoration by Multi-Scale Residual Neural Network

The Future Network is the System Innovation that Builds on the Future

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. 