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检索条件"任意字段=Conference on Internet Quality and Performance and Control of Network Systems"

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performance of SNMP Protocol in Sensor network Measurement and IoT Web-based HMI Features 8

Performance of SNMP Protocol in Sensor Network Measurement a...

引用

8th International conference on Instrumentation, control, and Automation, ICA 2023

作者： Nurmalia, Enung Bashar, Labid Bin Joelianto, Endra Institut Teknologi Bandung Instrumentation and Control Master Program Bandung Indonesia Institut Teknologi Bandung Instrumentation and Control Research Group Bandung Indonesia

ISBN: (纸本)9798350301274

The Simple network Management Protocol (SNMP) is a networking protocol used for the management and monitoring of all connected devices in internet standard protocol networks. Recently, the utilization and capability of SNMP has been enhanced to be able to handle data exchange across a network from the control level to the human machine interface level. Some controllers, including micro-controllers, have upgraded their features and coverage to include SNMP in their communications protocol. The utilization of SNMP is also supported by Open Platform Communications (OPC) Server, which plays an important role as data exchange server for various controllers or systems with different gateways and drivers. This paper presents the performance assessment of SNMP implementation in a network, from controller to OPC server, comparing hardwired and wireless automation architectures. The results show that in both cases the round-Trip times (RTT) of SNMP were acceptable according to network criteria, with an average of less than 100 ms. Hence, SNMP is suitable as an industrial automation protocol. © 2023 IEEE.

关键词： Electronic data interchange

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A Review of Energy-efficient QoS-aware Composition in the internet of Things 8

A Review of Energy-efficient QoS-aware Composition in the In...

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8th International conference on Technology and Energy Management, ICTEM 2023

作者： Mokabberi, Amirhossein Iranmehr, Aliakbar Golsorkhtabaramiri, Mehdi Mazandaran University of Science and Technology Department of Computer Engineering Babol Iran Islamic Azad University Babol Branch Department of Computer Engineering Babol Iran

ISBN: (纸本)9781665452854

In the internet of Things, the services provided by the objects which are related, create environments. Those environments are broadcasted as services via the web. It is reasonable to deduce that those environments authorize things to interact with each other and makes the IoT services feasible. Gadgets and tools that use the internet of Things (IOT) have increased significantly. These tools have similar operating logic, but they have different performance in terms of quality of service (QOS). These services can be configured to facilitate value-added services. While the spatial-temporal limitations of IoT services need to be met more, energy consumption of IoT nodes should be mostly balanced. Consequently, an increase in network lifetime will be achieved. This paper reviews and evaluates the fundamental concepts of IoT Service Composition mechanisms and indicates how well they satisfy the scalability requirements of IoT systems. Subsequently, it investigates what QoS is and how it can be enhanced. © 2023 IEEE.

关键词： quality of service

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1st International conference on Microelectronics, Communication systems, Machine Learning, and internet of Things, MCMI 2020

1st International Conference on Microelectronics, Communicat...

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1st International conference on Microelectronics, Communication systems, Machine Learning, and internet of Things, MCMI 2020

ISBN: (纸本)9789811919053

The proceedings contain 59 papers. The special focus in this conference is on Microelectronics, Communication systems, Machine Learning, and internet of Things. The topics include: Analysis on Image Compression for Multimedia Communication Using Hybrid of DWT and DCT;face Detection Using Convolutional Neural network;utilization of Smartphone-Based Wireless Sensors in Agricultural Science: A State of Art;development of Smart Village for Better Lifestyle of Farmers by Crop and Health Monitoring System;a Novel Approach for Sink Route in Wireless Sensor network;automated Cheque Processing Through Data Verification and Siamese networks;Degradation of Optical Communication System performance Due to SPM;real-Time Measurement and Analysis of Power quality Issues in Distribution System;Design of Low-Power 10T Full Adder Circuit using DG—MOSFET at 180 nm Technology;study the Effect of Pt–Ga Sensitization on Sol–Gel-Grown Nano-ZnO Thin-Film H2 Sensor;preface;design, Implementation, and Study of an IoT-Based Battery Life Cycle Tester and State of Charge Indicator;effect of Electromagnetic Radiations on Children;Experimental Investigation of Solar PV Panel Using Phase Change Material Cooling by Capric Acid (C10H20O2);performance Enhancement of PV Panel by Cooling Front Surface of PV Panel with the Use of Water as a Cooling Medium;drinking Water quality of Different Industrial Sources: (Environmental Science and Engineering, Urban Planning);Design of Low-Power High-Efficient Single-Tail Comparator Using 180 nm CMOS Technology;design of Protection Circuit for Biomedical Signals Using 180 nm Technology;analyzing performance of IoT Applications—A Software Metric Approach;study and Comparison of Various Protection Configurations in Optical networks;Design of CMOS Low Noise Amplifier.

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Embedded Sensor networks for Smart Industrial Automation and control systems 7

Embedded Sensor Networks for Smart Industrial Automation and...

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7th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023

作者： Raman, Ramakrishnan Halam, Robert Maharashtra Pune India Maharashtra Pune India

ISBN: (纸本)9798350341485

Industrial automation and control systems have improved greatly using integrated sensor networks. These networks enable smart functionality, efficiency, and reliability in industrial contexts. This study analyzes embedded sensor network architecture, implementation, and prospective applications in smart industrial automation and control systems. This article details embedded sensor network technology and components. It examines sensors, data processing, and communication protocols that enable industrial sensor integration. Discussed include network scalability, energy efficiency, data dependability, and current solutions and research ***, integrated sensor networks are changing industrial automation and control systems. It enables continuous checking, foresight support, and flexible control. These networks use cutting-edge machine learning and analytics algorithms to maximize system performance, resource usage, and intelligent decision-making. This page presents embedded sensor network case studies and examples from many industrial domains. Sensor networks improve worker safety, manufacturing efficiency, energy consumption, and downtime. The study also solves sensor data security and privacy problems. In conclusion, integrated sensor networks have changed how smart industrial automation and control systems monitor, manage, and optimize industrial processes. This research article provides insights into these networks' design, implementation, and applications to help researchers, engineers, and practitioners achieve intelligent and effective industrial automation. © 2023 IEEE.

关键词： internet of things

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Stacking Ensemble Learning network Attack Detection Based on Industrial Processes in CPS-Enabled Smart Water Conservancy 27

Stacking Ensemble Learning Network Attack Detection Based on...

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27th International conference on Computer Supported Cooperative Work in Design (CSCWD)

作者： Xia, Zhuoqun Wang, Shiyu Tan, Jingjing Hu, Zhenzhen Changsha Univ Sci & Technol Sch Comp & Commun Engn Changsha Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China Univ South China Coll Comp Sci Changsha Peoples R China

ISBN: (纸本)9798350349184;9798350349191

As communication networks and the internet of Things (IoT) converge in water critical infrastructure, it facilitates smart online monitoring of water supply systems, but it also significantly increases the incidence of cyber attacks. Additionally, it becomes especially challenging to detect attacks timely as they become more sophisticated and multifaceted. To address this issue, we propose a stacking ensemble network detection model based on industrial processes in water treatment systems, where the attacks are identified through recognizing anomalies caused by the underlying dynamics of the industrial control system. In the proposed detection model, we utilize a multilayer perceptron (MLP) to facilitate multi-module training, taking into consideration the multi-stage process of the water conservancy ***, we adopt Long Short-Term Memory Recurrent Neural network (LSTM) to effectively integrate the predicted results. To optimize the performance of this model, we leverage a Population Based Training (PBT) of Neural networks to finetune the parameters. For each sensor parameter, the residuals between the predicted and measured data are classified using a sliding window-based dynamic threshold to identify anomalies. Based on the Real Safe Water Treatment (SWaT) system dataset,we evaluate the accuracy of our proposed scheme with three other schemes. The experimental comparison results show that the accuracy of our scheme is better than those of all the other three schemes.

关键词： Cyber attack detection Water critical infrastructure Stacking ensemble Population based training

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Classification of ICMP connection time with a multi-layered neural network

Classification of ICMP connection time with a multi-layered ...

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IEEE International Black Sea conference on Communications and networking (BlackSeaCom)

作者： Topalova, Irina Hristova Informat Technol Univ Telecommunict & Post Sofia Bulgaria

ISBN: (数字)9781665497497

ISBN: (纸本)9781665497497

In the modern communication systems there is a need to process an increasing amount of data that must be analyzed in the systems for monitoring, control and protection against threats to IP traffic. For this reason, developers are increasingly relying on the integration of functionality and the application of intelligence in network monitoring and security devices. In this research a method was proposed, for automated classification of time variability for connection to the local internet router and to the server for the first transition to the internet. By grouping these parameters according to the connection time, three different classes related to the connection quality are created. These data are set as training vectors at the input of a multilayer neural network. Different neural network structures were trained with different strategies aiming to obtain best classification fitting by minimum neural network elements. The obtained experimental results are presented and discussed.

关键词： multi-layer neural network classification connection time

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Intelligent quality Guarantor Model for Computer Vision Based quality control 1

引用

4th International conference on Advances in Information Communication Technology and Computing, AICTC 2022

作者： Ivaschenko, Anton Golovnin, Oleg Avsievich, Vladimir Sitnikov, Pavel SEC "Open Code" Yarmarochnaya 55 Samara Russia Samara National Research University Moskovskoye Shosse 34 Samara Russia

ISBN: (数字)9789811998881

ISBN: (纸本)9789811998874

The paper studies a problem of production workplace adaptation using the computer vision based analysis of performance and quality control. There is proposed a new "intelligent quality guarantor" based on decomposition of the quality control process to the tasks of deviances identification. The solution is capable of capturing the individual characteristics of production personnel to provide intelligent decision-making support in real time. An artificial neural network is used to provide analysis of the operator’s behavior, derive the typical individual actions and classify them using the patterns of efficient and weak performance. The proposed approach improves the user interfaces of production cyber-physical systems for better comfort ability of the computer–human collaborative environment. The example of the proposed concept efficient use in practice is given for an automobile wire production manual operations control, where it is critical to consider the individual experience of production personnel. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cyber Physical System

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network Traffic Co-Movement Assessment via Oriented Basis Signal Processing and Ensemble Decision Trees 27

Network Traffic Co-Movement Assessment via Oriented Basis Si...

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27th IEEE International conference on Intelligent Transportation systems, ITSC 2024

作者： Mohebbi, Mohammad Reza Hassan Zada, Mohammad Javad Rostami-Shahrbabaki, Majid Doller, Mario Yamnenko, Iuliia University of Applied Sciences Josef Ressel Center Vision2Move Project Tirol Kufstein Austria University of Passau Department of Computer Science Germany Technical University of Munich Traffic Engineering and Control Germany National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Department of Electronic Devices and Systems Kyiv Ukraine

ISBN: (纸本)9798331505929

Accurate short-term network-wide traffic prediction is essential to guarantee high service quality in urban traffic control systems. Nevertheless, traffic state time series represent network-scale spatiotemporal co-movement patterns and location-specific features. Therefore, hybrid statistical machine learning (ml) algorithms could be utilized to accommodate the aforementioned characteristics. In this paper, a hybrid random forest (rf) and extreme gradient boosting tree (XGBoost) model is introduced for network-wide traffic prediction. Moreover, a multi-noise oriented basis wavelet transform (OBT) filter is employed to pre-process the original time series, and improve the predictive accuracy. The RF model captures the traffic co-movements and the XGBoost extracts the local information. Comparative analysis of the hybrid algorithm and deep learning-based benchmarks indicate better performance of the proposed methodology in hourly traffic state prediction of 30 loop detectors, located in the paris city center. Hence, the hybrid decision-tree-based mechanism is a useful framework for real-time network traffic forecasting offering fewer trainable (hyper-)parameters, and thus, lower computational cost. © 2024 IEEE.

关键词： Time series

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Digital Information Content Platform for Sustainable Education and Disaster Resilience with Telecommunications network-Assisted Remote Monitoring And Management 14

Digital Information Content Platform for Sustainable Educati...

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14th Global Humanitarian Technology conference

作者： Salvador, Rannie D. Libatique, Nathaniel Joseph C. Melendres, Mark Anthony V. Tangonan, Gregory L. Villanueva, Joselito Christian Paulus M. Ateneo Manila Univ Ateneo Innovat Ctr Sch Sci & Engn Quezon City Philippines Ateneo Manila Univ Ateneo Innovat Ctr Dept Elect Comp & Commun Quezon City Philippines De La Salle Univ Gokongwei Coll Engn Manila Philippines Natl Univ Philippines Sch Arts & Sci Manila Philippines

ISBN: (纸本)9798350377354;9798350377347

The constant endeavor to advance mobile technology and broaden educational access has highlighted the digital poverty and digital divide across regions of the Philippines. This study focuses on the redevelopment of the Ateneo Innovation Center Education Cloud, introducing a telecommunications component for internet connectivity and a remote administrator interface. These enable non-service affecting content updates and software maintenance, minimizing resource-intensive physical interventions. The research evaluates the performance of 5G and LTE networks, server data transfer, throughput, and satellite infrastructure, to assess the platform's adaptability relative to terrestrial and non-terrestrial network conditions. Predeployment environment tests revealed a range of connectivity levels, from robust indoor coverage with -66 dBm 5G and -76.7 dBm LTE signal power to outdoor coverage-only areas with at least -120 dBm signal strength. Server data transfer reached a peak data capacity of 3.92 GB, with a mean throughput of 556 Mbps. Satellite network speeds ranged from 94 Mbps to 166 Mbps. The system's usability within diverse environment and varying network performance, remote-control capabilities, and compatibility with Starlink internet, prove the platform's viability and scalability as a multi-functional information distribution system for community knowledge transfer and disaster resilience, effectively reaching underserved regions in the Philippines.

关键词： mobile network digital learning content platform satellite communications wireless systems

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Interplay Between Priority Queues and controlled Delay in Programmable Data Planes 18

Interplay Between Priority Queues and Controlled Delay in Pr...

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18th Wireless On-Demand network systems and Services conference (WONS)

作者： Doan, Tung V. Scheinert, Tobias Lhamo, Osel Cabrera, Juan A. Fitzek, Frank H. P. Nguyen, Giang T. Tech Univ Dresden Hapt Commun Syst Dresden Germany Tech Univ Dresden Deutsch Telekom Chair Commun Networks Dresden Germany Tech Univ Dresden Ctr Tactile Internet Human In The Loop CeTI Dresden Germany

ISBN: (纸本)9783903176560

The Tactile internet needs to support multiple modalities, including haptic data simultaneously, to enable human and robot interaction in perceived real-time. Compared to video and audio, haptic data streams require an even lower delay and more shallow packet loss, which is a challenge for the underlying networks originally designed to support high bandwidths by having a large queue to buffer packets. This raises the need to study queuing management for different data streams. We examine the performance of CoDel++, which combines the well-known controlled Delay (CoDel) protocol and Priority Queues. We leverage programmable data planes, which can be programmed with P4. Evaluation results show that CoDel++ produces superior results for high-priority data streams, i.e., reducing latency by at least 60% and packet loss by half compared to individual exploitation of Priority Queuing or CoDel individually.

关键词： Tactile internet Buffer Bloat Active Queue Management Congestion control P4

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