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Calculation of the Behavior Utility of a Network System: Conception and Principle Article

Changzhen Hu

Engineering 2018, Volume 4, Issue 1,   Pages 78-84 doi: 10.1016/j.eng.2018.02.010

Abstract:

The service and application of a network is a behavioral process that is oriented toward its operations and tasks, whose metrics and evaluation are still somewhat of a rough comparison. This paper describes scenes of network behavior as differential manifolds. Using the homeomorphic transformation of smooth differential manifolds, we provide a mathematical definition of network behavior and propose a mathematical description of the network behavior path and behavior utility. Based on the principle of differential geometry, this paper puts forward the function of network behavior and a calculation method to determine behavior utility, and establishes the calculation principle of network behavior utility. We also provide a calculation framework for assessment of the network’s attack-defense confrontation on the strength of behavior utility. Therefore, this paper establishes a mathematical foundation for the objective measurement and precise evaluation of network behavior.

Keywords： Network metric evaluation     Differential manifold     Network behavior utility     Network attack-defense confrontation    

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Research Progress and Key Technologies of Quantum Network Systems

Li Jing, Gao Fei, Qin Sujuan, Wen Qiaoyan, Zhang Ping

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 80-95 doi: 10.15302/J-SSCAE-2023.06.010

Abstract:

The rapid development of quantum information has brought new opportunities and challenges to modern information technologies. As one of the popular research directions in the field of quantum information, quantum networks aim to utilize the fundamental properties of quantum mechanics to achieve long-distance (secure) communications or provide computational capabilities superior to classical computing networks through distributed computing. The study of quantum networks holds great significance in advancing the practicality of quantum information. To gain a comprehensive understanding of the development trajectory of quantum networks, this study categorizes quantum networks into three types: quantum cryptography, quantum cloud computing, and quantum teleportation networks, based on different application scenarios and technical approaches. It provides comprehensive reviews of both domestic and international research progress and the challenges faced in each aspect. Furthermore, in conjunction with the practical implementation of quantum networks, the key technologies that need to be overcome in the development of quantum network systems, involving link establishment, information transmission, networking protocols, and physical hardware, are summarized. Overall, the development of quantum networks is still in the primary stage. At this stage, actively addressing challenges and seizing opportunities are of great significance to enhance the technological prowess of China. Therefore, to promote the development of quantum network systems in China, suggestions are proposed from three aspects: strengthening investment in the research and development of fundamental hardware infrastructure, attaching importance to the theoretical research of quantum networks, and enhancing interdisciplinary research and talent cultivation.

Keywords： quantum information     quantum network     quantum cryptography network     quantum cloud computing network     quantum teleportation network    

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Decentralized multi-agent reinforcement learning with networked agents: recent advances Review Article

Kaiqing Zhang, Zhuoran Yang, Tamer Başar,kzhang66@illinois.edu,zy6@princeton.edu,basar1@illinois.edu

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 802-814 doi: 10.1631/FITEE.1900661

Abstract: Multi-agent (MARL) has long been a significant research topic in both machine learning and control systems. Recent development of (single-agent) deep has created a resurgence of interest in developing new MARL algorithms, especially those founded on theoretical analysis. In this paper, we review recent advances on a sub-area of this topic: decentralized MARL with networked agents. In this scenario, multiple agents perform sequential decision-making in a common environment, and without the coordination of any central controller, while being allowed to exchange information with their neighbors over a communication network. Such a setting finds broad applications in the control and operation of robots, unmanned vehicles, mobile sensor networks, and the smart grid. This review covers several of our research endeavors in this direction, as well as progress made by other researchers along the line. We hope that this review promotes additional research efforts in this exciting yet challenging area.

Keywords： 强化学习；多智能体系统；网络系统；一致性优化；分布式优化；博弈论    

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Design and analysis of a proportional-integral controller based on a Smith predictor for TCP/AQM network systems Research Articles

Ouassim MENACER, Abderraouf MESSAI, Lazhar KASSA-BAGHDOUCHE,kassabaghdouche_lazhar@yahoo.com,kassabaghdouche.lazhar@univ-guelma.dz

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 2,   Pages 291-303 doi: 10.1631/FITEE.2000245

Abstract: (AQM) is essential to prevent the degradation of quality of service in TCP/AQM systems with round-trip time (RTT) delay. RTT delays are primarily caused by packet-propagation delays, but they can also be caused by the processing time of queuing operations and dynamically changing network situations. This study focuses on the design and analysis of an AQM digital controller under time-delay uncertainty. The controller is based on the algorithm and is called the SMITHPI controller. This study also demonstrates the stability of the controller and its robustness against network parameter variations such as the number of TCP connections, time delays, and user datagram protocol flows. The performance, robustness, and effectiveness of the proposed SMITHPI controller are evaluated using the NS-2 simulator. Finally, the performance of the SMITHPI controller is compared with that of a well-known queue-based AQM, called the proportional-integral controller.

Keywords： Active queue management     Transport control protocol     Round-trip time delay     Smith predictor    

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Meteorological Telecommunication Network &Computer Systems Engineering

Li Huang,Wang Chunhu

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 101-106

Abstract:

As the information infrastructure for the meteorological services in China, meteorological telecommunication networks and computer systems have made great progress in terms of networking and computer applications. For the 21st century, the meteorological services in China will continue to be improved with leaps and bounds, the meteorological information infrastructure will also be further strengthened and along developed the expansion and advance of the national information infrastructure. This article introduces the developments regarding both meteorological telecommunication networks and computer systems, and presents the status of the construction in modernized system projects of China Meteorological Administration as well as it´s engineering applications .

Keywords： telecommunication network     computer     systems engineering    

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Solution of Network-induced Delay Using GPC With Predictive Error Compensation

Wang Dongqing

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 60-65

Abstract:

With regard to the characteristics of uncertain network-induced delay, an idea of using Generalized Predictive Control (GPC) is proposed in networked control systems. To overcome the influence of modeling mismatch and uncertainty of a system, an error predictive model is further built based on BP neural network, and error predictive value is used to compensate output predictive value, which forms a new control algorithm of GPC, and smooth filtering weighted controlled input variable is adopted. Random-delay-time characteristic of data transmission is tested in a networked control system. GPC and GPC with error compensation are compared in the system. GPC with BP error compensation is verified to have better performance in a modeling mismatch system.

Keywords： networked control systems (NCS)     uncertain delay     GPC     neural network    

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Research on Tracing Evaluation System in Virtual Enterprise Based on Neural Network

Wang Shuo,Tang Xiaowo

Strategic Study of CAE 2003, Volume 5, Issue 4,   Pages 65-69

Abstract:

The paper designed tracing evaluation index system in virtual enterprise and established neural network trace evaluation model. As a result, it was simple and nicety than traditional method, so it had wider application foreground.

Keywords： virtual enterprise     neural network     trace evaluation     system    

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Summarization of Network Security

Li Ying,Shan Xiuming,Ren Yong

Strategic Study of CAE 2004, Volume 6, Issue 1,   Pages 10-15

Abstract:

The content of computer network security is discussed in this article Firstly, the concept, system and structure and model of computer network security are given. Then the main content and correlative researching aspect are included. In the end, the main product is introduced.

Keywords： computer     network     system     security    

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Warehouse automation by logistic robotic networks: a cyber-physical control approach Tutorial

Kai Cai,kai.cai@eng.osaka-cu.ac.jp

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.2000156

Abstract: In this paper we provide a tutorial on the background of using and survey relevant work in the literature. We present a new cyber-physical control method that achieves safe, deadlock-free, efficient, and adaptive behavior of multiple robots serving the goods-to-man logistic operations. A central piece of this method is the incremental supervisory control design algorithm, which is computationally scalable with respect to the number of robots. Finally, we provide a case study on 30 robots with changing conditions to demonstrate the effectiveness of the proposed method.

Keywords： 离散事件系统；信息物理系统；机器人网络；仓库自动化；物流    

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Development of network schedule standardization system in hydraulic and hydropower engineering

Wang Renchao,Pan Feifei,Li Shiqi,Chen Jianyou

Strategic Study of CAE 2015, Volume 17, Issue 1,   Pages 129-136

Abstract:

Network schedule is an important part in construction organization and design in hydraulic and hydropower engineering. As most network schedule software provided limited functionality in schedule generation and analysis， leading to network schedule generation is time-consuming， laborious， inefficient， and low degree of standardization. Based on analysis of connotation of network standardization in hydraulic and hydropower engineering， this paper discussed the basic content of the network schedule standardization， developed the standardization system of network schedule in hydraulic and hydropower engineering， and introduced functions as network schedule aided generation， analysis， evaluation and review， as well as the output of results in detail. The system interface is friendly and intuitive visualization， and provides powerful computing and optimization capabilities， greatly improving the efficiency and quality of the preparation of the network schedule to engineering staffs， and provides a new way and means in quickly generating， analyzing and optimizing the network schedule.

Keywords： hydraulic and hydropower engineering； network schedule； standardization； SHAPS    

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Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction Machinery

Li Yunhua,Yang Guilin

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 25-29

Abstract:

This paper surveys the development history and the relative key technology of the control and manipulating system in the huge transporter and construction machinery, and proposes a new kind of scheme to realize the transmission of power, motion control and synthesis based on network control by field-bus control. Taking the computer control system of the engineering machinery applied in the transporting of the railroad bridge in the Shanghai suspension magnetic railway as example, the design method and control strategy of the network control system based on the configuration of the field bus control system and PC104 airborne industrial control computer are discussed. The research conclusions provide the new approach to realize the control and manipulation of the huge transporter and construction machinery.

Keywords： construction machinery     control     manipulation     network control    

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Adaptive network fuzzy inference system based navigation controller for mobile robot Research Article

Panati SUBBASH, Kil To CHONG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 141-151 doi: 10.1631/FITEE.1700206

Abstract:

Autonomous navigation of a mobile robot in an unknown environment with highly cluttered obstacles is a fundamental issue in mobile robotics research. We propose an adaptive network fuzzy inference system (ANFIS) based navigation controller for a differential drive mobile robot in an unknown environment with cluttered obstacles. Ultrasonic sensors are used to capture the environmental information around the mobile robot. A training data set required to train the ANFIS controller has been obtained by designing a fuzzy logic based navigation controller. Additive white Gaussian noise has been added to the sensor readings and fed to the trained ANFIS controller during mobile robot navigation, to account for the effect of environmental noise on sensor readings. The robustness of the proposed navigation controller has been evaluated by navigating the mobile robot in three different environments. The performance of the proposed controller has been verified by comparing the travelled path length/efficiency and bending energy obtained by the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy logic, and ANFIS. Simulation results presented in this paper show that the proposed controller has better performance compared with reference controllers and can successfully navigate in different environments without any collision with obstacles.

Keywords： Adaptive network fuzzy inference system     Additive white Gaussian noise     Autonomous navigation     Mobile robot    

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Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks Research Article

Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1848-1861 doi: 10.1631/FITEE.2200035

Abstract: Analyzing the of in is generally regarded as a challenging problem. Although existing studies can extract some critical rules, they fail to capture the complex subtleties under different operational conditions. In recent years, several deep learning methods have been applied to address this issue. However, most of the existing deep learning methods consider only the grid topology of a power system in terms of topological connections, but do not encompass a power system's spatial information such as the electrical distance to increase the accuracy in the process of graph convolution. In this paper, we construct a novel power- that uses power system topology and spatial information to optimize the edge weight assignment of the line graph. Then we propose a multi-graph convolutional network (MGCN) based on a graph classification task, which preserves a power system's spatial correlations and captures the relationships among physical components. Our model can better handle the problem with that have parallel lines, where our method can maintain desirable accuracy in modeling systems with these extra topology features. To increase the interpretability of the model, we present the MGCN using layer-wise relevance propagation and quantify the contributing factors of model classification.

Keywords： Power systems     Vulnerability     Cascading failures     Multi-graph convolutional networks     Weighted line graph    

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Development of Land–Sea–Air–Space Integrated Information Network

Xu Xiaofan, Wang Niwei, Gao Yingyuan, Lu Zhou, Wang Chunting, Lu Jun

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 39-45 doi: 10.15302/J-SSCAE-2021.02.006

Abstract:

The land–sea–air–space integrated information network is capable of providing globally accessible, safe, and reliable information services for land-, sea-, space-, and air-based users; it is an important infrastructure for China to maintain independence in the field and to become a cyberpower. This study uses literature research and expert consultation as the main research methods to summarize the development requirements of the land–sea–air–space integrated information network. After a detailed study on typical domestic and foreign systems, the major weaknesses of China’s land–sea–air–space integrated information network are summarized. Moreover, an integrated information network architecture and development routes are proposed. Specifically, we suggest that China should focus on the deep integration in terms of network architecture, technical system, and application services; integrate the communication, navigation, and remote sensing systems; promote technical independence and industrial upgrade of space-based networks; and strengthen its system security protection capabilities. 

Keywords： land–sea–air–space integrated information network     space-based information system     network architecture     integrated network     development route    

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A survey of cloud network fault diagnostic systems and tools Review Articles

Yining Qi, Chongrong Fang, Haoyu Liu, Daxiang Kang, Biao Lyu, Peng Cheng, Jiming Chen,qyning710@gmail.com,chongrongfang.zju@gmail.com,haoyu_liu@zju.edu.cn,daxiang.kdx@alibaba-inc.com,lubiao.lb@alibaba-inc.com,pcheng@iipc.zju.edu.cn,cjm@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8,   Pages 1031-1045 doi: 10.1631/FITEE.2000153

Abstract: Recently, cloud computing has become a vital part that supports people’s normal lives and production. However, accompanied by the increasing complexity of the , failures constantly keep coming up and cause huge economic losses. Thus, to guarantee the performance and prevent execrable effects caused by failures, diagnostics has become of great interest for cloud service providers. Due to the characteristics of (e.g., virtualization and multi-tenancy), transplanting traditional network diagnostic tools to the face several difficulties. Additionally, many existing tools cannot solve problems in the . In this paper, we summarize and classify the state-of-the-art technologies of cloud diagnostics which can be used in the production according to their features. Moreover, we analyze the differences between diagnostics and traditional based on the characteristics of the . Considering the operation requirements of the , we propose the points that should be cared about when designing a diagnostic tool. Also, we discuss the challenges that diagnostics will face in future development.

Keywords： 云网络；网络诊断；网络异常；网络监控    

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Title Author Date Type Operation

Calculation of the Behavior Utility of a Network System: Conception and Principle

Changzhen Hu

Journal Article

Research Progress and Key Technologies of Quantum Network Systems

Li Jing, Gao Fei, Qin Sujuan, Wen Qiaoyan, Zhang Ping

Journal Article

Decentralized multi-agent reinforcement learning with networked agents: recent advances

Kaiqing Zhang, Zhuoran Yang, Tamer Başar,kzhang66@illinois.edu,zy6@princeton.edu,basar1@illinois.edu

Journal Article

Design and analysis of a proportional-integral controller based on a Smith predictor for TCP/AQM network systems

Ouassim MENACER, Abderraouf MESSAI, Lazhar KASSA-BAGHDOUCHE,kassabaghdouche_lazhar@yahoo.com,kassabaghdouche.lazhar@univ-guelma.dz

Journal Article

Meteorological Telecommunication Network &Computer Systems Engineering

Li Huang,Wang Chunhu

Journal Article

Solution of Network-induced Delay Using GPC With Predictive Error Compensation

Wang Dongqing

Journal Article

Research on Tracing Evaluation System in Virtual Enterprise Based on Neural Network

Wang Shuo,Tang Xiaowo

Journal Article

Summarization of Network Security

Li Ying,Shan Xiuming,Ren Yong

Journal Article

Warehouse automation by logistic robotic networks: a cyber-physical control approach

Kai Cai,kai.cai@eng.osaka-cu.ac.jp

Journal Article

Development of network schedule standardization system in hydraulic and hydropower engineering

Wang Renchao,Pan Feifei,Li Shiqi,Chen Jianyou

Journal Article

Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction Machinery

Li Yunhua,Yang Guilin

Journal Article

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks

Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN

Journal Article

Development of Land–Sea–Air–Space Integrated Information Network

Xu Xiaofan, Wang Niwei, Gao Yingyuan, Lu Zhou, Wang Chunting, Lu Jun

Journal Article

A survey of cloud network fault diagnostic systems and tools

Yining Qi, Chongrong Fang, Haoyu Liu, Daxiang Kang, Biao Lyu, Peng Cheng, Jiming Chen,qyning710@gmail.com,chongrongfang.zju@gmail.com,haoyu_liu@zju.edu.cn,daxiang.kdx@alibaba-inc.com,lubiao.lb@alibaba-inc.com,pcheng@iipc.zju.edu.cn,cjm@zju.edu.cn

Journal Article