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4th International conference on Smart systems and Inventive Technology, ICSSIT 2022

作者： Liu, Taiwei Wang, Caifeng Fu, Haiyan Lei, Tengfei Qilu Institute of Technology Shandong Jinan250000 China

ISBN: (纸本)9781665401180

In order to continuously improve the service capabilities of the 5G communication network and promote the formation of a high-quality and efficient service structure, the R&D team and technical personnel have gradually tried to apply big data technology to the 5G communication network and achieved certain results. In this context, the article takes the application of big data technology as a starting point, systematically discusses the application method of big data technology in 5G communication network, and studies the integration modeling and heterogeneous simulation of big data technology in 5G communication network based on deep learning. The simulation results show that the heterogeneous network improves big data by 6.6%. © 2022 IEEE

关键词： Heterogeneous networks

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History-Aware Online Cache Placement in Fog-Assisted IoT systems: An Integration of Learning and control

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IEEE internet OF THINGS JOURNAL 2021年第19期8卷 14683-14704页

作者： Gao, Xin Huang, Xi Tang, Yinxu Shao, Ziyu Yang, Yang ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Shanghai 200050 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China ShanghaiTech Univ Shanghai Inst Fog Comp Technol Shanghai 201210 Peoples R China Peng Cheng Lab Res Ctr Network Commun Shenzhen 518000 Peoples R China Shenzhen SmartC Technol Dev Grp Co Ltd Shenzhen 518046 Peoples R China

In fog-assisted internet-of-Things systems, it is a common practice to cache popular content at the network edge to achieve high quality of service. Due to uncertainties, in practice, such as unknown file popularities, the cache placement scheme design is still an open problem with unresolved challenges: 1) how to maintain time-averaged storage costs under budgets;2) how to incorporate online learning to aid cache placement to minimize performance loss [also known as (a.k.a.) regret];and 3) how to exploit offline historical information to further reduce regret. In this article, we formulate the cache placement problem with unknown file popularities as a constrained combinatorial multiarmed bandit problem. To solve the problem, we employ virtual queue techniques to manage time-averaged storage cost constraints, and adopt history-aware bandit learning methods to integrate offline historical information into the online learning procedure to handle the exploration-exploitation tradeoff. With an effective combination of online control and history-aware online learning, we devise a cache placement scheme with history-aware bandit learning called CPHBL. Our theoretical analysis and simulations show that CPHBL achieves a sublinear time-averaged regret bound. Moreover, the simulation results verify CPHBL's advantage over the deep reinforcement learning-based approach.

关键词： internet of Things Wireless communication Delays Task analysis Uncertainty Servers Measurement Fog computing history-aware bandit learning internet of Things (IoT) learning-aided online control proactive caching

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Research on Temperature and Humidity Prediction Model of High Voltage Switchgear Based on SSA-BP Algorithm 4

Research on Temperature and Humidity Prediction Model of Hig...

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4th International conference on Smart Power and internet Energy systems (SPIES)

作者： Shen Genqiang Zhang Longchao Zhu Jiyun Xu Min Zhu Mengzhou Chong Pei State Grid Zhejiang Elect Power Co Ltd Huzhou Power Supply Co Huzhou Zhejiang Peoples R China China Three Gorges Univ Coll Elect Engn & New Energy Yichang Peoples R China

ISBN: (纸本)9781665489577

Moisture and condensation in high voltage switchgear will cause corrosion of parts, degradation of insulation performance and surface discharge. At the same time, the change of temperature and humidity inside the high-voltage switchgear has the characteristics of time sequence, nonlinear, spatial distribution difference and so on, which will lead to the hysteresis of the response of the dehumidification control system. Therefore, the high voltage switchgear temperature and humidity prediction model to predict the temperature and humidity in the switchgear was establishes in this paper. A prediction model of temperature and humidity in high voltage switchgear based on Sparrow Search Algorithm (SSA) and Back Propagation (BP) is proposed. Firstly, the quantifiable factors affecting the temperature and humidity of the switch cabinet are analyzed. Then the temperature and humidity prediction model of high voltage switchgear based on SSA-BP is constructed. Finally, a data acquisition system is built to obtain the input and output data of the model, and the prediction model is trained and verified. In this paper, the performance of BP, PSO-BP, GA-BP and SSA-BP prediction models are compared by the degree of correlation fitting and error interval ratio between predicted and actual temperature and humidity values. Then, the root mean square error (RMSE), mean absolute error (MAE), mean relative error (MAPE), and coefficient of determination (R2) were used to quantitatively compare and analyze the four prediction models. The results show that, compared with BP prediction model, PSO-BP prediction model and GA-BP prediction model, SSA-BP prediction model has the best prediction effect, and can better predict the temperature and humidity inside the electric cabinet.

关键词： high voltage switchgear Temperature and humidity prediction BP neural network Sparrow search algorithm (SSA) safe operation

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A Comprehensive Study on Optimization Algorithms for controller Placement in Software-Defined networking

A Comprehensive Study on Optimization Algorithms for Control...

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Intelligent Data Communication Technologies and internet of Things (IDCIoT), International conference on

作者： Maheswari Kolli Prabu. U Meenakshi Karre Geetha. V Department of CSE Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India Department of Information Technology Puducherry Technological University Puducherry India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

In today's context, the use of the internet has significantly increased, and new technologies keep evolving. Traditional networks are struggling to keep up with the growing demand. The advent of Software Defined networking (SDN) has become essential in data centers and also large scale area networks, playing a pivotal role in modern network architectures. SDN is characterized by its separation of the logically centralized design, along with the control plane and data planes. In SDN, the controller is a critical component that ensures smooth operations and consistent behavior across network. Determining optimal placement, quantity of controllers is vital for enhancing network performance. Identifying the best locations and the most efficient number of controllers is crucial to achieving seamless and resilient network operations. This study explores various advanced techniques for controller placement, focusing on minimizing latency. It emphasizes the development of optimization strategies that dynamically adapt to network conditions and traffic demands, presenting an approach to improving SDN controller placement.

关键词： Surveys Measurement Scalability Focusing network architecture Market research Real-time systems Reliability Software defined networking Optimization

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Analysis of Power Communication network And Power Information Security Based on Data Mining Algorithm Under Edge Collaboration Architecture

Analysis of Power Communication Network And Power Informatio...

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Power, Electrical Engineering, Electronics and control (PEEEC), International conference on

作者： Qiang Raoa Jie Huangb Ke Zhangc Jing Jind State Grid Hubei Electric Power Company Wuhan Hubei China

With the proposal of “internet plus” and the penetration of internet technology in all fields of society, the importance of communication information network security has become increasingly prominent. Communication information data dissemination has brought unprecedented new challenges and problems to national security and social stability. According to the isolation and authentication requirements of information security protection of power grid enterprises, based on the research of the relevant smart grid business scenarios, system architecture and security requirements with wireless public network as the channel, the monitoring architecture of wireless public network channel for intelligent power distribution is designed, including the monitoring scheme of intelligent power distribution business terminal, system master station, wireless public network channel and other links. In order to ensure the safe and reliable operation of power communication access network, encryption, authentication, isolation and other security protection measures are mainly adopted. Another important index to measure the network performance of power communication network is the quality of service ($Q_performance$S), which will be sacrificed at the cost of network security. This paper proposes a method of information system security situation assessment based on DM. Situation assessment is one of the most important measures to detect the security of information systems, which can provide power system security status information for managers. Managers can obtain the abnormal problems in the system and take targeted measures to improve the security performance of the system.

关键词：

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Proposed Multi-Pathization Method with SDN for Multiple Paths for TCP Throughput

Proposed Multi-Pathization Method with SDN for Multiple Path...

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International conference on Electrical Engineering, Computer Science and Informatics (EECSI)

作者： Yuuki Kobayashi Yoshihiro Ito Ryotaro Fujikami Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan

ISBN: (数字)9798350355314

ISBN: (纸本)9798350355321

In this paper, we propose an innovative method to control the increasing traffic volume caused by the proliferation of IoT devices, utilizing Software Defined networking (SDN). Our method leverages a genetic algorithm, a powerful numerical optimization technique, to determine the optimal forwarding probability that maximizes quality of Service (QoS) across the network. We experimentally evaluate the TCP throughput of the proposed method under various conditions in a multi-route network topology. The results of these experiments confirm the effectiveness and robustness of our scheme, showing significant improvements in network performance compared to traditional methods. This approach is particularly valuable for future network environments where IoT devices are expected to dominate, providing a scalable solution to manage network congestion and maintain high QoS standards. The potential applications of our method extend to various IoT-driven industries, making it a crucial tool for network administrators in the era of ubiquitous connectivity.

关键词： performance evaluation Optimization methods quality of service Throughput Robustness internet of Things Proposals Software defined networking Standards Genetic algorithms

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Research on Sports Teaching App Based on internet Statistical Data Analysis 9th

Research on Sports Teaching App Based on Internet Statistica...

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9th International conference on Signal and Information Processing, network and Computers, ICSINC 2021

作者： Yu, Guochao Fei, Qin Physical Education Gui Zhou Normal University Guizhou Guiyang550001 China Institute of Education Gui Zhou Normal University Guizhou Guiyang550025 China

ISBN: (纸本)9789811947742

With the integration and penetration of the internet, the structure and form of education curriculum and system are changing and transforming. The construction of sports curriculum is an important way to cultivate and improve the comprehensive physical quality of young undergraduate in our country. In recent years, the physical health of undergraduate in our country is not optimistic. It has become a trend to bring physical education into the new era, such as the formation of online and offline mixed learning mode. The purpose of this paper is to explore a kind of internet learning mode, so that it can be integrated with physical education, to improve undergraduate’ interest in sports and hobbies, and form a health education mode. Through the teaching experiment method, this paper applies mobile app to physical education teaching, analyzes the influence of physical education mode based on mobile internet on physical education performance, learning interest, learning ability and other aspects of teaching, and sends out questionnaires and carries out statistics to analyze the physical education performance, learning interest, learning ability of two classes before and after the experiment The statistical data of learning ability and methods were analyzed. Through the experiment, it is found that after using the mobile app, the sports performance of the test group and the control group has been improved. For example, in the 50 m dash, after the application of the mobile app in the teaching of the test group, the growth rate of the students who are rated as above average in sprint skill is 22.9%. At the same time, the sprint performance of the students in the control class was also improved, with an increase of 5.7%. It can be seen that the use of internet teaching can greatly improve students’ sports performance. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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Construction and Application of Digital Twin Cloud Platform for Rebar Straight Thread Processing Line

Construction and Application of Digital Twin Cloud Platform ...

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2023 International conference on Artificial Intelligence, systems and network Security, AISNS 2023

作者： Liu, Li Liu, Zijin Qian, Xuefei School of Mechanical Engineering Shenyang Jianzhu University Shenyang110168 China School of Electronics and Control Engineering North China Institute of Aerospace Engineering Langfang065000 China China Academy of Building Research Beijing100013 China China Petroleum Pipeline Bureau Engineering Co. Ltd Langfang065000 China

ISBN: (纸本)9798400716966

Faced with the problem of the "black box", which is prevalent in the traditional workshop manufacturing industry, the digital and intelligent transformation and upgrading of the manufacturing industry have become a focus area of research with the continuous development of a new generation of information technology. This study focuses on the rebar straight thread processing line, and explores the construction and application of the production line cloud platform with digital twin. Firstly, the overall framework of the production line digital twin cloud platform was constructed. Then, the digital twin modelling technology was explored from four perspectives: geometry, physics, behavior and rules. Additionally, an internet of Things (IoT) platform was constructed to enable bidirectional mapping between the physical system and the virtual model using data as the driving force. Finally, a digital twin prototyping system for the rebar straight thread processing line with integrated hardware and software was developed, relying on the sawing and cutting head line of a one-dragger. Through actual engineering cases, the proposed theory and technology are tested, verifying their effectiveness and practicability. The study demonstrates the application value of digital twin technology in remote monitoring, health operation and maintenance, quality inspection, and intelligent production, providing a certain reference for the realization of intelligent manufacturing of rebar processing. © 2023 ACM.

关键词： internet of things

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Intelligent Industrial controller network Based on Modbus Fieldbus 18

Intelligent Industrial Controller Network Based on Modbus Fi...

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18th IEEE/ASME International conference on Mechatronic and Embedded systems and Applications (MESA)

作者： Chen, Ching-Han Chang, Wen-Lin Hsieh, Meng-Yan Natl Cent Univ Dept Comp Sci & Informat Engn Taoyuan Taiwan

ISBN: (纸本)9781665455701

Under the impetus of industrial internet of things and smart manufacturing applications, realizing the development and deployment of decentralized industrial controller networks is crucial. This paper designed an industrial controller network gateway, combined with the Grafcet virtual machine, for rapid development and deployment with distributed decentralized controller equipment. A gateway architecture with three microcontrollers for communication protocol management, Modbus device management, and real-time data collection and monitoring engines, respectively, was proposed in this study. The communication protocol management engine is responsible for transmission between the gateway and cloud system, thereby providing an implementation mechanism for cyber/physical system. The device management engine uses Modbus RTU to communicate with the underlying PLC controller. This engine comprises an IEEE1588 time synchronization protocol that provides PLC controller time stamping and synchronization mechanisms. The real-time data collection and monitoring engine is in charge with the data sorting management function, which is used to make the database management have efficient data query function. Finally, experiments were conducted on the basis of multiple PLC controllers and robotic arms motion control to validate this industrial controller network functional usability and performance.

关键词： Modbus PLC Time Synchronization controller

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A Survey on Techniques Used to Improve network performance and Flexibility in Software Defined network

A Survey on Techniques Used to Improve Network Performance a...

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International conference on Information Technology, Information systems and Electrical Engineering (ICITISEE)

作者： Agung Trisnandar Mochamad Teguh Kurniawan Faculty of Industrial Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798350368970

ISBN: (纸本)9798350368987

Software Defined networks (SDN) has revolutionized modern network architecture by providing enhanced flexibility, agility, and programmability. This paradigm change makes centralized control and dynamic network configuration feasible by separating the control plane from the data plane. Various studies have explored techniques to optimize network performance within SDN frameworks. Critical approaches include load balancing, efficient controller selection, and performance analysis, which aim to improve metrics such as throughput and latency. Innovative methods, such as evolutionary synchronization-aware controller placement and integration with machine learning, further enhance SDN's adaptability to complex network environments. SDN's flexibility is underscored by its ability to dynamically allocate resources, manage quality of Service (QoS), and control network flows. This programmability supports diverse applications and environments, ensuring efficient resource utilization and cost-effective operations. SDN's integration with emerging technologies like quantum networking and machine learning extends its adaptability, enabling the creation of innovative network architectures. Research highlights SDN's potential across various contexts, including vehicular ad-hoc networks, wireless sensor networks, and IoT applications. Techniques such as the African Vulture Routing Optimization (A VRO) algorithm and Ant Colony Optimization (ACO) have significantly improved network performance, underscoring SDN's robustness and versatility. In summary, SDN provides a robust framework for modern network management, offering enhanced flexibility, scalability, and performance optimization in diverse networking scenarios.

关键词： Machine learning algorithms Heuristic algorithms Software algorithms quality of service Machine learning Routing Throughput Software defined networking Vehicle dynamics Optimization

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